{"plugins":["moment","interaction","dayGrid","timeGrid","list","rrule"],"timeZone":"Europe\/Amsterdam","defaultView":"dayGridMonth","defaultDate":"2023-03-24","header":{"left":"prev,next today","center":"title","right":"dayGridMonth"},"eventTimeFormat":"hh:mm a","firstDay":1,"locale":"en","events":[{"title":"Basketball Data Analysis","id":"0-0","eid":"1228","url":"\/courses\/node-1228","des":"

Basketball Data Analysis<\/a><\/h2>\n
GoToWebinar<\/p>\n\n
This short course offers instructor-led and hands-on training in basketball analytics for students, young statisticians, and sports professionals. It provides the understanding of the concepts of basketball data science, by covering basic statistics tools and advanced methods of data analysis, as discussed in the book Basketball Data Science \u2013 with Applications in R<\/em> by P. Zuccolotto and M. Manisera (2020) and using the R package BasketballAnalyzeR. Real examples from NBA data are shown and small exercises are assigned to students.<\/p>\n\n
Target audience<\/h3>\n\n
Young statisticians, young researchers in sport statistics, students with basic knowledge of statistics and R language, sports professionals with basic knowledge of statistics and R language. Prerequisites:<\/em> Basic knowledge of statistics and R language.<\/p>\n\n
Syllabus<\/h3>\n\n
The course is concerned with the description and discussion of some statistical tools useful to analyze basketball data, in order to make a valid support for technical experts in the field. Through the use of real cases and applications, the course aims at providing operational and practical guidance to data analysis useful to support decisions of technical experts.<\/p>\n\n
In particular, the learners will gain the following skills:<\/p>\n\n
\n\t
Knowledge and understanding: learners will acquire the methodological and applied knowledge about the basic statistical concepts of basketball data analysis and will be able to apply such knowledge by means of appropriate software.<\/li>\n\t
Applying knowledge and understanding: learners will be able to use some of the main exploratory methods of data analysis in order to analyse real basketball data.<\/li>\n\t
Making judgements: learners will be able to analyse and interpret basketball data and organize results in order to draw conclusions and support basketball technical decisions.<\/li>\n\t
Communication skills: learners will be able to communicate, to experts and non-experts, data information with the help of outputs from specific software of data analysis and visualization.<\/li>\n\t
Learning skills: learners will learn how to use the R package to answer research and practical questions about basketball analytics. This can be a starting point to face subsequent research investigations.<\/li>\n<\/ul>\n\n
Required software<\/h3>\n\n
R with the R package BasketballAnalyzer already installed.<\/p>\n","editable":false,"start":"2021-06-21","allDay":true,"end":"2021-06-23","backgroundColor":"#0000af"},{"title":"Introduction to Graph Sampling","id":"1-0","eid":"1239","url":"\/courses\/node-1239","des":"
Introduction to Graph Sampling<\/a><\/h2>\n
Registration is not possible any more<\/p>\n\n
This is a 3-day course.<\/p>\n\n
Finite population sampling<\/strong> has found numerous applications in the past century. The validity of sampling inference of real populations derives from the known probability sampling design under which the sample is selected, \u201cirrespectively of the unknown properties of the target population studied\u201d (Neyman, 1934). This is the key theoretical justification for its universal applicability.<\/p>\n\n
Valued graph<\/strong> is a more powerful representation, which allows one to incorporate the connections among the population units in addition to the units on their own. The underlying structure is a graph given as a finite collection of nodes (units) and edges (connections). Attaching measures to the nodes and\/or edges yields a valued graph. Many technological, socio-economic, biological phenomena exhibit a graph structure that may be the central interest of study, or the edges may provide effectively access to those nodes that are the primary targets. Either way, graph sampling is a statistical approach to study real graphs. Just like finite population sampling, it is universally applicable based on exploring the variation over all possible subgraphs (i.e. sample graphs), which can be taken from the given population graph, according to a specified method of sampling.<\/p>\n\n
Graph sampling<\/strong> thus encompasses finite population sampling, because any latter situation can be represented as a special case of the former. All the so-called \u201cunconventional\u201d finite population sampling techniques, such as indirect, network, adaptive cluster or line-intercept sampling, can be more effectively studied as special cases of graph sampling. Whereas snowball sampling and targeted random walk sampling are probabilistic versions of breadth- or depth-first non-exhaustive search algorithms in graphs.<\/p>\n\n
The course provides an introduction to the central concepts of graph sampling, the most common sampling methods, and the construction of graph sampling strategy. An emphasis is the extension from the traditional sampling strategy (finite population sampling, Horvitz-Thompson estimator) to a much more general strategy consisting of bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE). The application of the BIGS-IWE strategy will be illustrated for all the aforementioned unconventional situations of finite population sampling, as well as the more complicated graph sampling situations such as snowball sampling and targeted random walk sampling.<\/p>\n\n
Target audience<\/h2>\n\n
Graduate students, statisticians at national statistical offices or other organisations working with sampling methods, data scientists interested in network analysis, graph mining or compression.<\/p>\n\n
Syllabus<\/h2>\n\n
The course will be based on the book Graph Sampling<\/a>.<\/p>\n\n
\n\t
Day 1\n\t
\n\t\t
Bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE)<\/li>\n\t\t
Applying BIGS-IWE strategy to unconventional sampling situations<\/li>\n\t\t
Practical session with R<\/li>\n\t<\/ol>\n\t<\/li>\n\t
Day 2\n\t
\n\t\t
Adaptive cluster sampling (ACS) as BIGS<\/li>\n\t\t
ACS designs for epidemic prevalence estimation<\/li>\n\t\t
Practical session with R<\/li>\n\t<\/ol>\n\t<\/li>\n\t
Day 3\n\t
\n\t\t
Introduction to general theory of graph sampling<\/li>\n\t\t
Strategies for snowball sampling and targeted random walk sampling<\/li>\n\t\t
Practical session with R<\/li>\n\t<\/ol>\n\t<\/li>\n<\/ul>\n\n
Required\u00a0software<\/h2>\n\n
\n\t
RStudio.<\/li>\n<\/ul>\n","editable":false,"start":"2022-03-14","allDay":true,"end":"2022-03-15","backgroundColor":"#3a87ad"},{"title":"Data Science and Predictive Analytics (DSPA)","id":"2-0","eid":"1262","url":"\/courses\/node-1262","des":"
Data Science and Predictive Analytics (DSPA)<\/a><\/h2>\n
Register for this online course<\/p>\n\n
This 3-day virtual course is based on the\u00a0 Data Science and Predictive Analytics (DSPA) course<\/a>\u00a0that the instructor teaches at the University of\u00a0Michigan.<\/p>\n\n
The training will provide intermediate to advanced learners with a solid data science foundation to address challenges related to collecting, managing, processing, interrogating, analyzing and interpreting complex health and biomedical datasets using R. Participants will gain skills and acquire a tool-chest of methods, software tools, and protocols that can be applied to a broad spectrum of Big Data\u00a0problems.<\/p>\n\n
Before diving into the mathematical algorithms, statistical computing methods, software tools, and health analytics, we will discuss a number of driving motivational problems. These will ground all the subsequent scientific discussions, data modeling, and computational approaches. The training will involve active-learning and integrate driving motivational challenges with mathematical foundations, computational statistics, and modern scientific\u00a0inference.<\/p>\n\n
Building on open-science principles, training will focus on effective, reliable, reproducible, and transformative data-driven discovery. Trainees will develop scientific intuition, computational skills, and data-wrangling abilities to tackle Big biomedical and advanced health data problems. The instructor will provide well-documented R-scripts and software recipes implementing atomic data-filters, as well as complex end-to-end predictive big data analytics\u00a0solutions.<\/p>\n\n
\n\t
Materials<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2022-03-07","allDay":true,"end":"2022-03-08","backgroundColor":"#0000af"},{"title":"Introduction to Machine Learning","id":"3-0","eid":"1263","url":"\/courses\/node-1263","des":"
Introduction to Machine Learning<\/a><\/h2>\n
Register for this online course<\/p>\n\n
This course describes nonparametric regression, including the additive model and its generalizations, also the LASSO, and LARS. Then it proceeds to classification (SVMs, random forests, boosting). The Curse of Dimensionality is described in both contexts. Bagging and stacking are covered. There is some coverage of cluster analysis, and some text analytics. The emphasis is upon the strengths and weaknesses of the tools, and guidance on when a particular method should be used.<\/p>\n\n
Target audience<\/h2>\n\n
Those who are familiar with multiple linear regression. \u00a0I expect someone who got a MS in statistics ten years ago would be a good fit. \u00a0People with stronger backgrounds will still benefit, and probably acquire deeper insights.<\/p>\n\n
Syllabus<\/h2>\n\n
\n\t
Machine learning overview<\/li>\n\t
Key ideas in nonparametric regression<\/li>\n\t
Methods for model assessment and quantified prediction<\/li>\n\t
Nonparametric regression methods<\/li>\n\t
Advances in variable selection methodology<\/li>\n\t
Classification techniques: SVMs and Random Forests<\/li>\n\t
The power of ensembles<\/li>\n\t
Cluster analysis<\/li>\n\t
Text data<\/li>\n<\/ol>\n\n
Required software<\/h2>\n\n
None, but students should practice what they learn with R.<\/p>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-02-23","allDay":true,"end":"2022-02-24","backgroundColor":"#3a87ad"},{"title":"Recurrent Event Analysis in R with the reReg package","id":"4-0","eid":"1265","url":"\/courses\/node-1265","des":"
Recurrent Event Analysis in R with the reReg package<\/a><\/h2>\n
Register for this online course<\/p>\n\n
Recurrent event data arise when the event of interest can recur in the same individual during follow-up. Some examples of recurrent events include sequences of hospital admissions, infection episodes, and tumor recurrences. Standard survival analysis methods that focus only on time to the first event cannot capture the cumulative experience of the recurrent events and could lead to invalid inferences. For this reason, the development of statistical methods that appropriately address the structure of recurrent events has attracted considerable attention. This short course introduces the R package reReg, which provides a collection of tools for exploratory analysis and nonparametric and semiparametric methods for analyzing recurrent event data.<\/p>\n\n
Target audience<\/h3>\n\n
This course\u2019s intended audience includes researchers who want to gain basic exposure to analysing recurrent event data with the ultimate goal of incorporating R into their research programs.<\/p>\n\n
Syllabus<\/h3>\n\n
Each hour a different part:<\/p>\n\n
\n\t
Prepare recurrent event data in R with the Recur() function.<\/li>\n\t
Exploring recurrent event data with event plots and mean cumulative function with the plotEvent() and mcf() functions.<\/li>\n\t
Simulating recurrent event data and fitting regression models with the simSC() and reReg()functions.<\/li>\n<\/ol>\n\n
Required software<\/h3>\n\n
Before the short course begins, the participants are recommended to install the latest version of R and install both the reReg and reda package.<\/p>\n","editable":false,"start":"2022-04-12","allDay":true,"end":"2022-04-13","backgroundColor":"#3a87ad"},{"title":"Fraud Analytics","id":"5-0","eid":"1266","url":"\/courses\/node-1266","des":"
Fraud Analytics<\/a><\/h2>\n
Register for this online course<\/p>\n\n
Fraud has been around since the early days of commerce, continuously evolving and adapting to changing times. The fraudulent cases are seen in a wide range of domains such as finance, credit card, telecommunications, insurance and health care. Examples include but not limited to the post COVID-19 instances in financial stimulus, unemployment eligibility and health care procurement. For instance, in health care, overpayments are estimated to correspond up to ten percent of total expenditures. This short course presents the use of analytical methods for fraud assessment. Fraud data and its types will be introduced with some examples and pre-processing techniques. Next, the course will cover the use of visualization and unsupervised methods (outlier detection, clustering, topic models) to describe data and reveal hidden relationships. \u00a0Whereas supervised methods such as classification and regression can be used with labeled data sets for prediction purposes. These methods will be discussed using examples from finance and health care industries. The course will conclude with an overview of applications using R. After completing the course, the attendees will have learnt various types of fraud, and the use of data and statistical methods for fraud detection.<\/p>\n\n
Target Audience<\/h3>\n\n
Researchers in financial service companies, banks, insurance companies, government institutions, health care institutions, and consulting firms as well as fraud data analysts\/scientists; consultants working in fraud detection. This course is also expected to be of interest to early career statisticians that can gain insights about how different data mining\/statistical methods are applied in this emerging crucial subject domain using R.<\/p>\n\n
Syllabus<\/h3>\n\n
Consist of 4 sessions<\/strong>:<\/p>\n\n
\n\t
Introduction to fraud and data: Statistical fraud assessment and R, Importance of fraud detection, Definition and types of fraud with examples, Fraud data and pre-processing methods<\/li>\n\t
Descriptive Fraud Analytics: Visualization, Descriptive Statistical Methods, Outlier detection, Clustering, Topic models<\/li>\n\t
Predictive Fraud Analytics: Classification, Regression; Model Evaluation<\/li>\n\t
Case Study and Overview: Fraud analytics applications using R, Overview: Future directions and challenges with statistical fraud detection<\/li>\n<\/ol>\n\n
One option to do these is to have the sessions for 40 minutes, with breaks in between of 5, 10 and 5 minutes respectively, for a total of 3 hours.<\/p>\n\n
Required software<\/h3>\n\n
It is highly recommended that the attendees have open source free software R and RStudio installed.<\/p>\n","editable":false,"start":"2022-04-14","allDay":true,"end":"2022-04-15","backgroundColor":"#3a87ad"},{"title":"An Introductory Course in Competing Risks","id":"6-0","eid":"1267","url":"\/courses\/node-1267","des":"
An Introductory Course in Competing Risks<\/a><\/h2>\n
Register for this online course<\/p>\n\n
This course will focus on methodological and practical issues in the scope of competing risks and multi-state models. Basic concepts, models, estimation algorithms and statistical software will be reviewed. Simulation exercises and real data analyses will be provided in order to enlighten the interpretation and to facilitate the understanding. Both nonparametric methods and semiparametric approaches will be\u00a0considered.<\/p>\n\n
Some background in foundations of statistics and in parametric and nonparametric inference is required. Background in Survival Analysis (Kaplan-Meier estimation, Cox regression) is recommended. BSc or MSc in Statistics, Biostatistics or Mathematics is\u00a0ideal.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
PhD students and postgraduates in\u00a0general.<\/p>\n\n
Syllabus<\/h3>\n\n
\n\t
Introduction:<\/em>\u00a0Survival function and hazard function. Right-censoring and left-truncation. Competing risks. Markov and non-Markov multi-state models. Time-homogeneity and time inhomogeneity. Motivating examples (real\u00a0data).<\/li>\n\t
Competing risks:<\/em>\u00a0The competing risks multi-state model. Non-identifiability in the latent failure time model. Cause-specific hazards (transition intensities) and sub-distribution hazards. Cumulative incidence functions. Simulating competing risks data. Nonparametric\u00a0estimation.<\/li>\n\t
Proportional hazards regression models:<\/em>\u00a0Proportional cause-specific hazards model. Proportional sub-distribution hazards\u00a0model.<\/li>\n<\/ol>\n\n
Slides and script files will be distributed well in advance. Presentation of each of the three chapters will take\u00a035\u00a0min, followed by\u00a015\u00a0min of practical exercises, and then a\u00a010\u00a0min break (3\u00a0hours in\u00a0total).<\/p>\n\n
Required\u00a0software<\/h3>\n\n
R<\/a>.<\/p>\n","editable":false,"start":"2022-05-19","allDay":true,"end":"2022-05-20","backgroundColor":"#3a87ad"},{"title":"Large-Scale Spatial Data Science","id":"7-0","eid":"1270","url":"\/courses\/node-1270","des":"
Large-Scale Spatial Data Science<\/a><\/h2>\n
Register for this online course<\/p>\n\n
Spatial data science is concerned with analyzing the spatial distributions, patterns, and relationships of data over a predefined geographical region. It relies on the dependence of observations where the primary assumption is that nearby spatial values are associated in a certain way. For decades, the size of most spatial datasets was modest enough to be handled by exact inference. Nowadays, with the explosive increase of data volumes, High-Performance Computing (HPC) has become a popular tool for many spatial applications to handle massive datasets. Big data processing becomes feasible with the availability of parallel processing hardware systems such as shared and distributed memory, multiprocessors and GPU accelerators. In spatial statistics, parallel and distributed computing can alleviate the computational and memory restrictions in large-scale Gaussian random process inference. In this course, we will first briefly cover the motivation, history, and recent developments of statistical methods so that the students can have a general overview of spatial statistics. Then, the cutting-edge HPC techniques and their application in solving large-scale spatial problems with the new software ExaGeoStat will be presented.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
Statisticians with interests in High-Performance Computing and large-scale Spatial\u00a0Statistics.<\/p>\n\n
Syllabus<\/h3>\n\n
\n\t
Spatial statistics overview (1\u00a0hour, Marc &\u00a0Faten)<\/li>\n\t
High-Performance Computing (HPC) overview (1\u00a0hour,\u00a0Sameh)<\/li>\n\t
Large-scale spatial statistics using R packages with Code Examples (1\u00a0hour, Faten &\u00a0Sameh)<\/li>\n<\/ul>\n\n
Required\u00a0software<\/h3>\n\n
None.<\/p>\n","editable":false,"start":"2022-04-25","allDay":true,"end":"2022-04-26","backgroundColor":"#3a87ad"},{"title":"Financial Accounts \u2013 Concepts, compilation and use","id":"8-0","eid":"1271","url":"\/courses\/node-1271","des":"
Financial Accounts \u2013 Concepts, compilation and use<\/a><\/h2>\n
Register for this webinar<\/p>\n\n
The course consists of several short sessions explaining the concepts, compilation and uses of the macroeconomic financial accounts which are part of the System of National Accounts\u00a02008\u00a0(and its European equivalent the ESA\u00a02010). The sessions will introduce the main steps of selecting and confronting data sources and of balancing the accounts. One session will be dedicated to the concept of the \u201cwho-to-whom\u201d\u00a0 presentation, which is one of the priorities under the G-20\u00a0Data Gaps Initiative. Finally, examples of uses of financial accounts by central banks and economic policy makers, as well as some challenges for the future will be\u00a0shown.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
Statisticians in central banks and statistical authorities. Researchers, economists and other users interested in an overview of financial accounts, its main features and\u00a0uses.<\/p>\n\n
Syllabus<\/h3>\n\n
\n\t
Overview: Financial accounts and Integrated\u00a0accounts<\/li>\n\t
Core concepts of the SNA08\/ESA\u00a02010\n\t
\n\t\t
Units, sectors and\u00a0instruments<\/li>\n\t\t
Flows, transactions and balance\u00a0sheets<\/li>\n\t<\/ol>\n\t<\/li>\n\t
Selection and combination of data\u00a0sources<\/li>\n\t
Balancing and\u00a0integration<\/li>\n\t
Interconnectedness: compiling \u201cFrom\u00a0who-to-whom\u201d<\/li>\n\t
Results and\u00a0uses<\/li>\n<\/ol>\n\n
Required\u00a0software<\/h3>\n\n
\n\t
none<\/li>\n<\/ul>\n","editable":false,"start":"2022-03-10","allDay":true,"end":"2022-03-12","backgroundColor":"#3a87ad"},{"title":"Cure Models: Methods, Applications, and Implementation","id":"9-0","eid":"1273","url":"\/courses\/node-1273","des":"
Cure Models: Methods, Applications, and Implementation<\/a><\/h2>\n
Registration is not possible any more<\/p>\n\n
This course will provide a comprehensive introduction to cure models, including basics of the cure models as well as many recent developments related to the methodological issues and software implementations of cure models for right-censored time-to-event data subject to non-informative censoring. The course will feature real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. Applications of cure models in other disciplines will be discussed. This course will be useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in\u00a0applications.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
This course should appeal to a broad audience, including statisticians and graduate students in statistics\/biostatistics as well as clinician-scientists, health researchers, health policymakers, and researchers in cancer research and the biopharmaceutical industry who have a good understanding of the basics of biostatistics. Graduate students in epidemiology, public health, and management who have strong training in biostatistics can also be benefited from this\u00a0course.<\/p>\n\n
Syllabus<\/h3>\n\n
This course will cover the following\u00a0topics:<\/p>\n\n
\n\t
Bbsics of parametric mixture and non-mixture cure models, the EM-based estimation methods, model assessment methods, some existing R packages, and SAS macros for parametric cure models, analysis of real-world data\u00a0sets.<\/li>\n\t
Basics of the semiparametric and nonparametric mixture and non-mixture cure models, the estimation methods, and existing R packages and SAS macros illustrated with real-world data\u00a0sets.<\/li>\n\t
Cure models for multivariate, recurrent-event, and competing-risks survival data based on both marginal and random-effects (frailty)\u00a0approaches.<\/li>\n\t
Joint models of longitudinal and survival data with a cure fraction for clinical trial data\u00a0analyses.<\/li>\n\t
Statistical testing for the existence and difference of cure rates and also the identifiability and sufficient follow-up issues in cure model\u00a0estimation.<\/li>\n\t
New developments in Bayesian methods for cure models and general implementations of Bayesian analysis using BUGS\u00a0program.<\/li>\n\t
Applications of cure models in the population-based cancer survival\u00a0analysis.<\/li>\n\t
Statistical issues in the design and analysis of cancer clinical trials with a possible cure fraction and R programs of a suite of tools for applied researchers in clinical\u00a0trials.<\/li>\n<\/ul>\n\n
The instructors will provide course slides and software programs to the course participants. A recently published book on the topics by the authors is also available for\u00a0purchase.<\/p>\n\n
The course will be delivered via the GoToWebinar platform. Participants will have the opportunity to interact with the course instructors and practice data analysis using the software and data sets\u00a0provided.<\/p>\n\n
Required\u00a0software<\/h3>\n\n
R, SAS, and WinBUGS programs may be used in the course. Some basic knowledge about the software program will be\u00a0helpful.<\/p>\n","editable":false,"start":"2022-04-11","allDay":true,"end":"2022-04-12","backgroundColor":"#3a87ad"},{"title":"Building technical editing and science communication skills for 21st Century","id":"10-0","eid":"1274","url":"\/courses\/node-1274","des":"
Building technical editing and science communication skills for 21st Century<\/a><\/h2>\n
Register for this online course<\/p>\n\n
A single most difficult task of a science journal editor is to identify, nurture, and retain talented science writers and reviewers, who could masterfully creatively communicate to science to peers and general audience. The objective of the course is to provide tools and resources to stellar students, young promising researchers, and seasoned scientists and practitioners in developing and honing their skills in technical writing, manuscript reviewing and\u00a0editing.<\/p>\n\n
This course aims to demystify the editorial process and demonstrate a strong training potential of offering constructive feedback to peers and engaging in science communication at all stages of the research and practice endeavours.\u00a0 For the early career researchers and practitioners, this course will help to find their voices and establish their independent paths. For authors with limited publishing and reviewing experience this course will help to build skills, find their voices, and instil self-confidence and self-worth. For senior authors, this course will offer paths to share their knowledge and wisdom. For ISI members (and not yet members), this course will illustrate a broad range of publications supported by ISI\u2019s societies and highlight opportunities and available\u00a0resources.<\/p>\n\n
Effective communication of science is the essence of humankind\u2019s progress in the\u00a021st\u00a0Century.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
\n\t
Junior practitioners and researchers, postdoctoral fellows and graduate students interested in improving manuscripts for submission for top international\u00a0journals.<\/li>\n\t
Senior or mid-career practitioners and researchers interested in workforce development and improving reviewer\u2019s skills for top international journals and setting up Special Issues for top international journals in statistics and related\u00a0disciplines.<\/li>\n<\/ul>\n\n
Syllabus<\/h3>\n\n
At the end of the course participants will be able\u00a0to:<\/p>\n\n
\n\t
create plans for scientific paper preparation, review and\u00a0editing;<\/li>\n\t
critically assess the time needed to review and revise a scientific\u00a0paper;<\/li>\n\t
develop a sequence of steps for addressing challenging issues in\u00a0reviewing;<\/li>\n\t
recognize the essential aspects of ethics of reviewing and\u00a0editing;<\/li>\n\t
recognize the essential aspects of constructive\u00a0feedback;<\/li>\n\t
practice giving and receiving peer\u00a0feedback;<\/li>\n\t
identify ISI publications, their missions, editorial\u00a0boards;<\/li>\n\t
build their own network of peers interested in science\u00a0communication;<\/li>\n\t
learn how to be a stellar reviewer, an avid technical editor, and an enthusiastic science\u00a0communicator!<\/li>\n<\/ul>\n\n
The course will be delivered in two modules, covering specific topics over\u00a02\u00a0days. Ech day there will be a\u00a03-hour synchronous instruction, consisting of three blocks. Each\u00a060-min block includes:\u00a020\u00a0min talk\/lectures +\u00a020\u00a0min hands-on experience\/exercise +\u00a020\u00a0min discussion on tips and\u00a0recommendations.<\/p>\n\n
Module\u00a01<\/strong>\u00a0aims to help young promising researchers and seasoned professionals to develop skills for technical writing, presentation and interpretation of results, manuscript reviewing and editing, creating personal plans for professional development. The\u00a0blocks<\/strong>\u00a0are:<\/p>\n\n
\n\t
Writing a Winning Nature-style\u00a0Abstract<\/li>\n\t
Using Templates, Author\u2019s Guide, and Editorial\u00a0Resources<\/li>\n\t
Nurturing\u00a0Talents<\/li>\n<\/ol>\n\n
Module\u00a02<\/strong>\u00a0aims to help juniors and seasoned researchers to master skills for technical writing, manuscript reviewing and editing, interpretation and discussion of scientific findings, and boosting internal cooperation and international collaboration. The\u00a0blocks<\/strong>\u00a0are:<\/p>\n\n
\n\t
Structuring a\u00a0Review<\/li>\n\t
Proposing and Editing a Topic-specific Special\u00a0Issue<\/li>\n\t
Writing Opinion and\u00a0Editorials<\/li>\n<\/ol>\n\n
Evaluation<\/h3>\n\n
At the beginning of the course students will fill in a brief\u00a05-question entry survey. At the end of each module, students will fill a brief\u00a05-question evaluation\u00a0survey.<\/p>\n\n
Participants will be provided with examples of material needed for manuscript submission and reviewing, including Cover Letter, Manuscript Templates, Nature-style Annotated Abstract, curated and organized Nature-based resources for authors and reviewers, lecture slides, PDFs, and links to useful resources, tips and checklists. The material will be distributed to participants prior synchronous part for review and\u00a0preparation.<\/p>\n\n
Participants are expected to use personal laptops and\/or digital\u00a0pads.<\/p>\n\n
Required\u00a0software<\/h3>\n\n
Microsoft\u00a0Word.<\/p>\n","editable":false,"start":"2022-03-24","allDay":true,"end":"2022-03-25","backgroundColor":"#0000af"},{"title":"Bootstrap Methods and Permutation Tests","id":"11-0","eid":"1276","url":"\/courses\/node-1276","des":"
Bootstrap Methods and Permutation Tests<\/a><\/h2>\n
Register for this online course<\/p>\n\n
We begin with a graphical approach to bootstrapping and permutation testing, illuminating basic statistical concepts of standard errors, confidence intervals, p-values and significance\u00a0tests.<\/p>\n\n
We consider a variety of statistics (mean, trimmed mean, regression, etc.), and a number of sampling situations (one-sample, two-sample, stratified, finite-population), stressing the common techniques that apply in these situations. We\u2019ll look at applications from a variety of fields, including telecommunications, finance, and\u00a0biopharm.<\/p>\n\n
These methods let us do confidence intervals and hypothesis tests when formulas are not available, so we can do better statistics, e.g. use robust methods like medians, trimmed means, or robust regression. They can help clients understand statistical variability. And some of the methods are more accurate than standard\u00a0methods.<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
Practicing statisticians and students. This is not a highly technical\u00a0course.<\/p>\n\n
Syllabus<\/h3>\n\n
\n\t
Introduction to Bootstrapping\n\t
\n\t\t
General\u00a0procedure<\/li>\n\t\t
Why does bootstrapping\u00a0work?<\/li>\n\t\t
Sampling distribution and bootstrap\u00a0distribution<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Bootstrap Distributions and Standard Errors\n\t
\n\t\t
Sample\u00a0mean<\/li>\n\t\t
Other\u00a0statistics<\/li>\n\t\t
Simple confidence\u00a0intervals<\/li>\n\t\t
Two-samples<\/li>\n\t<\/ul>\n\t<\/li>\n\t
How Accurate Is a Bootstrap\u00a0Distribution?<\/li>\n\t
Bootstrap Confidence Intervals\n\t
\n\t\t
Quick-and-dirty<\/li>\n\t\t
More\u00a0accurate<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Significance Testing Using Permutation Tests\n\t
\n\t\t
Two-sample<\/li>\n\t\t
Other<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Variety of statistics\n\t
\n\t\t
What can go\u00a0wrong<\/li>\n\t<\/ul>\n\t<\/li>\n\t
More sampling methods\n\t
\n\t\t
Stratified\u00a0sampling<\/li>\n\t\t
Finite\u00a0population<\/li>\n\t\t
Regression<\/li>\n\t\t
Time\u00a0series<\/li>\n\t<\/ul>\n\t<\/li>\n<\/ul>\n\n
Required\u00a0software<\/h3>\n\n
None.<\/p>\n\n
See\u00a0resampling docs<\/a>\u00a0on Tim Hesterberg’s personal\u00a0website.<\/p>\n","editable":false,"start":"2022-04-20","allDay":true,"end":"2022-04-21","backgroundColor":"#3a87ad"},{"title":"Reshaping challenging data to produce insightful graphs - a quick start to using R tidyverse tools","id":"12-0","eid":"1339","url":"\/courses\/node-1339","des":"
Reshaping challenging data to produce insightful graphs - a quick start to using R tidyverse tools<\/a><\/h2>\n
Register for this online course<\/p>\n\n
In this short course, you will learn to read and reshape a dataset from the World Bank, filter observations and select variables to produce an analysis data set and finally to produce figures. Customizing, enhancing and annotating data visualizations follows. R software with be used with functions included the tidyverse suite of packages being highlighted (dplyr, tidyr and ggplot2\u00a0in\u00a0particular).<\/p>\n\n
Target\u00a0audience<\/h3>\n\n
General audience. Some exposure to using R is recommended although not strictly\u00a0required.<\/p>\n\n
Syllabus<\/h3>\n\n
This workshop will be comprised of\u00a04\u00a0parts:<\/p>\n\n
\n\t
Moving from an \u2018ugly\u2019 spreadsheet to a beautiful data\u00a0set<\/li>\n\t
Exploring the characteristics of an attractive data\u00a0display<\/li>\n\t
Understanding a conceptual model for statistical\u00a0graphics<\/li>\n\t
Generating graphical insights from\u00a0data<\/li>\n<\/ol>\n\n
Upon completion of this short course,\u00a0participants will be able\u00a0to<\/p>\n\n
\n\t
reshape raw data in a tidy data format using pivot_\u00a0tools<\/li>\n\t
filter observations and select variables to produce an analysis data\u00a0set<\/li>\n\t
generate and annotate a figure from an analysis data\u00a0set<\/li>\n\t
add layers based on data frames to a\u00a0plot<\/li>\n<\/ol>\n\n
Required\u00a0software<\/h3>\n\n
R (tidyverse package+), RStudio: Directions for installing R, RStudio and required packages will be provided in advance of the\u00a0workshop.<\/p>\n","editable":false,"start":"2022-04-05","allDay":true,"end":"2022-04-06","backgroundColor":"#3a87ad"},{"title":"Bayesian Thinking: Fundamentals, Regression, and Multilevel Modeling","id":"13-0","eid":"2362","url":"\/courses\/node-2362","des":"
Bayesian Thinking: Fundamentals, Regression, and Multilevel Modeling<\/a><\/h2>\n
<\/p>\n\n
This series of webinar provides a general introduction to Bayesian modeling with a particular focus on regression and multilevel models. The use of the system R in Bayesian computation is described, including the programming of the Bayesian model and the use of different R tools to summarize the posterior. Special focus will be on the application of Markov chain Monte Carlo (MCMC) algorithms and diagnostic methods to assess convergence of the algorithms. The LearnBayes and rethinking R packages are used to illustrate MCMC fitting by the use of Gibbs sampling and Metropolis algorithms. Larger Bayesian models will be fit using JAGS and Stan and the accompanying runjags and rstan packages.<\/p>\n\n
Part 1 (2 hours): Introduction to Bayesian Inference. Basic tenets of Bayesian thinking including construction of priors, summarization of the posterior to perform inferences, and the use of prediction distributions for prediction and model checking.<\/p>\n\n
Part 2 (2 hours): Bayesian Regression. Implementation of Bayesian thinking for regression models for continuous and categorical response data.<\/p>\n\n
Part 3 (2 hours): Bayesian Multilevel Modeling. Introduction to multilevel models as a flexible way of modeling regressions over groups.<\/p>\n\n
Registere here<\/a><\/p>\n","editable":false,"start":"2023-01-09","allDay":true,"end":"2023-01-10","backgroundColor":"#0000af"},{"title":"Teaching and Communication Tools for Enabling Statistical Thinking","id":"14-0","eid":"2398","url":"\/courses\/node-2398","des":"
Teaching and Communication Tools for Enabling Statistical Thinking<\/a><\/h2>\n
<\/p>\n\n
Many failings in the application of statistics do not result from errors in calculations but from\u00a0logical and conceptual misunderstandings. Selection of methods for data analysis,\u00a0interpretation of data and testing results, and application of statistical information in decision-making, for example, all demand strong foundations in probabilistic thinking. This course
\nsupplies tools and best practices for teaching and communicating statistical thinking as a\u00a0foundation for conducting, understanding, and applying statistics. While the statistical\u00a0community has a wide variety of successful tools for teaching statistical calculations and tests,\u00a0examples and resources for teaching statistical thinking are less common. We include examples\u00a0from scientific studies, official statistics, working with decision-makers, and communicating to\u00a0the general public.<\/p>\n\n
The first half of the course will focus on common errors in statistical thinking and how to avoid\u00a0them. It includes methods for thinking in simulations; how a single statistical analysis fits into\u00a0the larger supply-chain of knowledge; and what p-values are and how they are often misused.\u00a0We will conduct hands-on activities that can be used in a wide variety of settings, including on-line workshops. A set of these activities have paired R-labs for those teaching statistics courses.<\/p>\n\n
The second half of the course focuses on statistical communication and the responsibilities of\u00a0statisticians in communication of data and uncertainty. We cover some classic and fascinating\u00a0examples of statistical miscommunication and work in groups on statistical communication\u00a0challenges. Activities focus on communication of scientific results as well as official statistics\u00a0and, in particular, on best practices for communicating uncertainty so that the uncertainty can
\nbe leveraged in decision-making. These activities will be enable anyone teaching statistics as\u00a0well as anyone consulting or communicating in the field of statistics to more clearly articulate\u00a0the interpretation of scientific studies as well as why there is uncertainty, what it means, and\u00a0how that information can be applied in a decision-making context.<\/p>\n\n
Course materials that will be provided to participants include the course slides and lesson plans\u00a0for both hands-on activities and R-labs as well as a reading list.<\/p>\n\n
The target audience focuses on statisticians teaching statistics courses at the undergraduate\u00a0and graduate level and will also be relevant to anyone conducting statistical consulting or\u00a0communicating statistical work to those without a strong statistical background. There are prerequisites.<\/p>\n\n
Costs for this 2-day course (each 4 hours)<\/strong>:
\nDeveloped country - \u20ac 100,-
\nDeveloping country \/ Students - \u20ac 60,-<\/p>\n\n
It is not possible to register any more. Please\u00a0keep an eye on the website about possible new dates.\u00a0<\/strong><\/p>\n","editable":false,"start":"2023-01-10","allDay":true,"end":"2023-01-11","backgroundColor":"#3a87ad"},{"title":"Spatio-temporal modeling and prediction","id":"15-0","eid":"2400","url":"\/courses\/node-2400","des":"
Spatio-temporal modeling and prediction<\/a><\/h2>\n
<\/p>\n\n
Modelling spatio-temporal phenomena is a key issue in today’s research. However, the extension from pure spatial to a spatio-temporal kriging approach is not trivial. We will look into a set of different perceptions of spatio-temporal dependence and the resulting covariance models (separable, product-sum, metric, \u2026). The practical part deals with the exploration of empirical variograms and the different variogram models applied to different data sets. Finally, some computational aspects regarding R environment and specific packages available for variogram fitting and prediction purposes will be illustrated.<\/p>\n\n
Structure (1 hour per step)<\/strong><\/p>\n\n
\n\t
Step 1\n\t
\n\t\t
Geostatistics and spatio-temporal random functions: theoretical framework on spatio-temporal random functions; properties of the spatio-temporal covariance function and semivariogram<\/li>\n\t\t
Geostatistics and spatio-temporal random functions: an overview on some theoretical space\u2013time covariances models<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Step 2\n\t
\n\t\t
Introduction to different formats of spatial and spatio-temporal in R: spatio-temporal full data frame; spatio- temporal sparse data frame; spatio-temporal irregular data frame<\/li>\n\t\t
Reading and writing spatial and spatio-temporal data. Subset a spatio-temporal object. Graphical representation of spatio-temporal data<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Step 3\n\t
\n\t\t
Spatio-temporal structural analysis: semivariogram and covariogram estimation and model fitting<\/li>\n\t\t
Semivariogram estimation. Fitting a spatio-temporal variogram model in R<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Step 4\n\t
\n\t\t
Spatio-temporal structural analysis: validation and comparison of spatio-temporal semivariogram and covariogram models; some statistical tests on semivariogram and covariogram characteristics<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Step 5\n\t
\n\t\t
Spatio-temporal prediction: spatio-temporal kriging; spatio-temporal kriging equations<\/li>\n\t\t
Scripts in R to test some features of spatio-temporal covariance functions<\/li>\n\t<\/ul>\n\t<\/li>\n\t
Step 6\n\t
\n\t\t
Spatio-temporal interpolation in R<\/li>\n\t\t
Case studies by using spatio-temporal datasets<\/li>\n\t<\/ul>\n\t<\/li>\n<\/ol>\n\n
Target audience<\/strong>
\nStatisticians interested in applications involving earth sciences<\/p>\n\n
Knowledge assumed (prerequisites)<\/strong>
\nIntroduction to statistics (mandatory).
\nIntroduction to geostatistics (recommended)<\/p>\n\n
Level of instruction<\/strong>
\nIntermediate<\/p>\n\n
Preparatory material<\/strong>
\nBooks<\/p>\n\n
\n\t
Journel, A.G. and Huijbreghts, Ch.J. 1984. Mining Geostatistics, Academic Press, London (First edition published in 1978), 600 p.<\/li>\n\t
Hristopulos D. T. 2021. Random Fields for Spatial Data Modeling. A Primer for Scientists and Engineers, Springer, 867 p.<\/li>\n\t
Montero JM, Fern\u00e1ndez-Avil\u00e9s G, Mateu J. 2015. Spatial and Spatio-Temporal Geostatistical Modeling and Kriging Wiley, United Kingdom<\/li>\n\t
Sherman M, 2011. Spatial Statistics and Spatio-Temporal Data. Covariance Functions and Directional Properties. Wiley, United Kingdom<\/li>\n\t
Cressie, N., Wikle, C., 2011. Statistics for Spatio-Temporal Data. Wiley, New Jersey, 588 p<\/li>\n\t
Christakos, G., 2012. Modern Spatiotemporal Geostatistics. Dover Publications, Reprint edition. New York, 288 p<\/li>\n\t
Christopher K. Wikle, Andrew Zammit-Mangion, and Noel Cressie, 2019. Spatio-Temporal Statistics with R. Chapman & Hall\/CRC<\/li>\n<\/ul>\n\n
Papers<\/p>\n\n
\n\t
Pebesma EJ 2020. CRAN Task View: Handling and Analyzing Spatio-Temporal Data. Version 2020-03-18, URL https:\/\/CRAN.R-project.org\/viewSpatioTemporal.<\/li>\n\t
Pebesma EJ, Bivand RS 2005. \u201cClasses and Methods for Spatial Data in R.\u201d R News, 5, 9\u201313. URL https:\/\/CRAN.R-project.org\/doc\/Rnews\/.<\/li>\n\t
Pebesma EJ, Bivand RS, Ribeiro PJ 2015. \u201cSoftware for Spatial Statistics.\u201d Journal of Statistical Software, 63(1). doi:10.18637\/jss.v063.i01.<\/li>\n<\/ul>\n\n
Costs for this 2-day course (each 3 hours):<\/strong>
\nDeveloped country - \u20ac 100,-
\nDeveloping country \/ Students - \u20ac 60,-<\/p>\n\n
Register here<\/a><\/p>\n","editable":false,"start":"2023-01-30","allDay":true,"end":"2023-01-31","backgroundColor":"#3a87ad"},{"title":"10th NIC.br Annual Workshop on Survey Methodology","id":"16-0","eid":"1036","url":"\/events\/node-1036","des":"
10th NIC.br Annual Workshop on Survey Methodology<\/a><\/h2>\n
Virtual<\/p>\n\n
The workshop has been conducted by the Regional Center for Studies on the Development of the Information Society (Cetic.br) of the Brazilian Network Information Center<\/strong> (NIC.br) since 2010 to discuss emerging topics on ICT data production within the ICT data community.<\/p>\n\n
The 10th edition, coorganized by the National School of Statistical Sciences (ENCE) of the Brazilian Institute of Geography and Statistics (IBGE), will be conducted entirely online through a series of five webinars addressing the impacts of Artificial Intelligence (AI) for the future of ICT data production and other societal implications.<\/p>\n\n
This is an open and free event, limited to 500 participants connected through Zoom Webinar. The entire event will be recorded and posted later on NIC.br Youtube channel<\/a>.<\/p>\n\n
The event will be conducted and presented in English with simultaneous translation to Portuguese.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-10-05","allDay":true,"end":"2020-10-10","backgroundColor":"#ffffff"},{"title":"11th Conference of the Asian Regional Section of IASC","id":"17-0","eid":"1037","url":"\/events\/node-1037","des":"
11th Conference of the Asian Regional Section of IASC<\/a><\/h2>\n
Kyoto, Japan \/ hybrid<\/p>\n\n
The 11th conference of the Asian Regional Section of IASC on \u201cData Science Everywhere: Innovations in Statistical Computing\u201d will take place at Doshisha University, Kyoto, Japan on 21-24 February 2022 (delivered in a hybrid format). The conference consists of keynote lectures, invited sessions and contributed talks\/e-posters sessions. The abstract submission of contributed talks\/e-posters and early bird registration are open until 31 October.<\/p>","editable":false,"start":"2022-02-21","allDay":true,"end":"2022-02-25","backgroundColor":"#ffffff"},{"title":"13th Southern Hemisphere Delta Conference","id":"18-0","eid":"1038","url":"\/events\/node-1038","des":"
13th Southern Hemisphere Delta Conference<\/a><\/h2>\n
Virtual<\/p>\n\n
Delta conferences have been held every two years since the first one at Brisbane, Australia in 1997. These Southern Hemisphere symposia have also been held in South Africa, New Zealand, Argentina, and Brazil. In November 2021, Delta will be hosted (virtually) in Auckland, Aotearoa New Zealand.<\/p>\n\n
Delta attracts an international audience of academics interested in undergraduate mathematics and statistics education, including disciplinary specialists, education theorists, and tertiary education practitioners across sciences and engineering.<\/p>\n\n
Due to the uncertainties surrounding the corona virus (COVID-19) as it continues to threaten many countries in the world, and disrupts international air travel, this conference will be online. As a consequence, the dates for the Herenga Delta Conference originally scheduled for 21 \u2013 26 November 2021 at Te Whare Wananga o Tamaki Makaurau, The University of Auckland, will now be from 22 \u2013 25 November 2021 as a virtual event. Presentations will be made online via video conferencing.<\/p>\n\n
The word herenga in Te Reo Maori has several connotations; in this conference, herenga refers to a mooring place where people have come from afar to share their knowledge and to stimulate discussion in the Delta tradition. Accordingly, the Herenga Delta 2021 Conference Organizing Committee looks forward to your virtual participation at this 13th Delta Conference with engaging presentations, open dialogue, and networking to promote quality mathematics and statistics undergraduate education.<\/p>\n\n
More information<\/a>.<\/span><\/p>","editable":false,"start":"2021-11-22","allDay":true,"end":"2021-11-26","backgroundColor":"#ffffff"},{"title":"16th International Conference of The Mathematics Education for the Future Project","id":"19-0","eid":"1039","url":"\/events\/node-1039","des":"
16th International Conference of The Mathematics Education for the Future Project<\/a><\/h2>\n
King\u2019s College, Cambridge University, UK<\/p>\n\n
The Conference will be held on\u00a08-13 August 2022.<\/p>\n\n
IASE members frequently attend this event. Participants will have lodging at King’s College with shared breakfast and lunch to encourage conversation.<\/p>\n\n
The deadline for papers and workshop summaries has been extended to 15 February 2021. Updates are available here<\/a> and questions can be emailed to Alan Rogerson at alan@cdnalma.ponzan.pl<\/a>.<\/p>","editable":false,"start":"2022-08-08","allDay":true,"end":"2022-08-14","backgroundColor":"#ffffff"},{"title":"19th International Summer Conference on Probability & Statistics","id":"20-0","eid":"1040","url":"\/events\/node-1040","des":"
19th International Summer Conference on Probability & Statistics<\/a><\/h2>\n
Pomorie, Bulgaria<\/p>\n\n
The 19th ISCPS conference will focus on new trends in Stochastic processes, Probability theory and Statistical Inference with special emphasis on Branching processes, Order statistics, Stochastic modelling and Reliability, Biostatistics.<\/p>\n\n
Organization and suggestion of special sessions within the framework will be strongly encouraged.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-06-25","allDay":true,"end":"2021-07-01","backgroundColor":"#ffffff"},{"title":"1st CSDA & EcoSta Workshop on Statistical Data Science (SDS 2020)","id":"21-0","eid":"1041","url":"\/events\/node-1041","des":"
1st CSDA & EcoSta Workshop on Statistical Data Science (SDS 2020)<\/a><\/h2>\n
<\/p>\n\n
This workshop is a Satellite Event of the 24th International Conference on Computational Statistics (COMPSTAT 2020)<\/strong>. Since the main conference is postponed, so is this workshop.<\/p>\n\n
The workshop is associated with the new supplement of the journal Computational Statistics & Data Analysis, the Annals of Statistical Data Science (SDS). The workshop and the Annals of SDS are promoted by the CMStatistics network. The journals Computational Statistics & Data Analysis (CSDA) and Econometrics and Statistics (EcoSta) are the official publications of CMStatistics.<\/p>\n\n
The Annals and the Workshop of Statistical Data Science will serve as an outlet for research using advanced computational and\/or statistical methods for tackling challenging data analytic problems. They will become a valuable resource for well-founded theoretical and applied data-driven research. Significant computational or statistical methodological component for data analytics will be considered. In particular, contributions at the interface of computing, statistics addressing problems involving large and\/or complex data are welcome. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software.<\/p>\n\n
Keynote speakers<\/h2>\n\n\n\t
Geoffrey McLachlan, University of Queensland, Australia<\/li>\n\t
Peter Rousseeuw, KU Leuven, Belgium<\/li>\n<\/ul>\n\n
Scientific Program Committee<\/h2>\n\n
\n\t
Elvezio Ronchetti<\/li>\n\t
Ivan Kojadinovic<\/li>\n\t
Bertrand Clarke<\/li>\n\t
Xinyuan Song<\/li>\n\t
Michele Guindani<\/li>\n\t
Peter Winker<\/li>\n\t
Chenlei Leng<\/li>\n\t
Stefano Castruccio<\/li>\n\t
Taps Maiti<\/li>\n\t
Igor Pruenster<\/li>\n\t
Hans-Georg Mueller<\/li>\n\t
Juan Romo<\/li>\n\t
Cheng Yong Tang<\/li>\n\t
Jane-Ling Wang<\/li>\n<\/ul>\n\n
Local Organizing Committee and Co-chairs<\/h2>\n\n
\n\t
Ana Colubi<\/li>\n\t
Erricos Kontoghiorghes<\/li>\n\t
M. Brigida Ferraro<\/li>\n\t
Marzia Freo<\/li>\n\t
Alessandra Luati<\/li>\n<\/ul>\n\n
Important dates<\/h2>\n\n
\n\t
17 April 2021 - Abstract submission for invited and organized sessions<\/li>\n\t
15 May 2021 - Abstract submission for contributed sessions<\/li>\n\t
27 May 2021 - Presenting authors registration<\/li>\n<\/ul>\n\n
Submit your abstract<\/a><\/p>\n","editable":false,"start":"2020-08-25","allDay":true,"end":"2020-08-29","backgroundColor":"#ffffff"},{"title":"22nd European Young Statisticians Meeting","id":"22-0","eid":"1042","url":"\/events\/node-1042","des":"
22nd European Young Statisticians Meeting<\/a><\/h2>\n
Athens (online), Greece<\/p>\n\n
$\"The$ <\/p>\n\n
The European Young Statisticians Meetings (EYSM) is a series of conferences that is organised by and for young European statisticians. The EYSM are held every two years under the auspices of the European Regional Committee of the Bernoulli Society. The idea of the meeting is to provide young researchers (less than thirty years of age or two to eight years of research experience) an introduction to the international scene within the broad subject area - from pure probability theory to applied statistics. Every participant is expected to submit an abstract and a short paper for conference proceedings and to give a twenty minutes talk introducing his\/her research field to a wide audience. Participation is by invitation only.<\/strong><\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-09-06","allDay":true,"end":"2021-09-11","backgroundColor":"#ffffff"},{"title":"2021 Women in Statistics and Data Science Conference","id":"23-0","eid":"1043","url":"\/events\/node-1043","des":"
2021 Women in Statistics and Data Science Conference<\/a><\/h2>\n
Pittsburgh, USA<\/p>\n\n
$\"Women\"$ <\/aside>\n
\n
Submission
\nFebruary 11 \u2013 April 1: Concurrent, Panel, and Poster Abstracts<\/p>\n\n
Registration
\nEarly Registration Opens May 27<\/p>\n\n
Website<\/a><\/p>\n\n<\/aside>","editable":false,"start":"2021-10-07","allDay":true,"end":"2021-10-10","backgroundColor":"#ffffff"},{"title":"3rd LISA 2020 Symposium","id":"24-0","eid":"1044","url":"\/events\/node-1044","des":"
3rd LISA 2020 Symposium<\/a><\/h2>\n
Virtual + Umudike, Nigeria<\/p>\n\n
\n\n\n

\n<\/td>\n\n <\/td>\n\n<\/tr>\n\n<\/tbody>\n<\/table>\n\n
3rd LISA 2020 Symposium: \u201cConnecting to Build Capacity to Transform Evidence into\u00a0Action and Celebrate the International Year of Women in Statistics and Data Science\u201d<\/p>\n\n
Sign up<\/a> for the third symposium.<\/p>\n\n
\u00a0<\/p>\n\n
List of Plenary Events:<\/h2>\n
\n
\n
\u00a0Wednesday, 7 October: Chapter 2 – Statistical Consulting and Collaboration Techniques with Discussion from Prof. Vance, organized by Prof. Olubusoye<\/div>\n\n<\/li>\n\n
\n
\u00a0Tuesday,\u00a013 October: Make-up Zoom meeting<\/div>\n\n<\/li>\n\n
\n
\u00a0Tuesday, 20 October: LISA 2020 Day! Chapter 1 – Statistics Education and Practice in Developing Countries – Macro-theory of collaboration and How to run a stat lab, organized by Prof. Vance<\/div>\n\n<\/li>\n\n
\n
\u00a0Wednesday, 21 October: Panel Discussion –Sustainability of LISA 2020 Network and individual stat labs, organized by Dr. Awe<\/div>\n\n<\/li>\n\n
\n
\u00a0Thursday, 29\u00a0October: Chapter 4 – New Approaches to Statistical Learning in Developing Countries, organized by Dr. Nunes<\/div>\n\n<\/li>\n\n
\n
\u00a0Thursday, 5 November: Chapter 7: Technology and Multimedia in Statistics and Data Science Education, organized by Dr. Gayawan<\/div>\n\n<\/li>\n\n
\n
\u00a0To Be Determined: Data science workshop: \u201cTidyverse in R\u201d<\/div>\n\n<\/li>\n\n
\n
\u00a0Wednesday, 25\u00a0November: Statistics Education and Empowering Women, organized by Prof. Naz<\/div>\n\n<\/li>\n\n
\n
\u00a0Thursday, 3 December: Lessons learned in Transforming Evidence to Action, organized by Dr. Love. Panelists: Olubusoye, Adebanji, Ganguli<\/div>\n\n<\/li>\n\n<\/ul>\n\n
List of Regional Events:<\/h2>\n
\n
\n
\u00a030 November - 2 December: Southeast Nigeria Regional Event, hosted by Michael Okpara University of Agriculture, Umudike<\/div>\n\n<\/li>\n\n<\/ul>\n\n
\u00a0<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-09-27","allDay":true,"end":"2020-12-04","backgroundColor":"#ffffff"},{"title":"24th International Conference on Computational Statistics (Compstat 2020)","id":"25-0","eid":"1045","url":"\/events\/node-1045","des":"
24th International Conference on Computational Statistics (Compstat 2020)<\/a><\/h2>\n
Bologna, Italy<\/p>\n\n
Sponsored by the European Regional Section of the IASC and hosted and organized by the Department of Statistical Sciences of the University of Bologna, Italy.<\/p>\n\n
The conference aims at bringing together researchers and practitioners to discuss recent developments in computational methods, methodology for data analysis and applications in statistics. All topics within the broad interface of Computing & Statistics will be considered for oral and poster presentation.<\/p>\n\n
Keynote speakers<\/h2>\n\n
\n\t
Igor Pruenster, Bocconi University, Italy<\/li>\n\t
Jean-Michel Zakoian, ENSAE, France<\/li>\n\t
Holger Dette, Ruhr-University of Bochum, Germany<\/li>\n<\/ul>\n\n
Scientific Program Committee<\/h2>\n\n
\n\t
COMPSTAT 2020 organisers and Chairpersons of the SPC and the LOC:<\/em> Alessandra Luati, University of Bologna, Italy and Maria Brigida Ferraro, Sapienza University of Rome, Italy<\/li>\n\t*
Past Compstat organiser:<\/em> Cristian Gatu, Alexandru I. Cuza University of Iasi, Romania<\/li>\n\t
Next Compstat organiser:<\/em> Erricos Kontoghiorghes, Birbeck University of London, UK<\/li>\n\t
Members SPC:<\/em> Peter Filzmoser, Christian Hennig, Tsung-I Lin, Martina Mittlboeck, Domingo Morales, Miguel de Carvalho<\/li>\n\t
Consultative Members:<\/em> Berthold Lausen, Philip Yu, David Fernando Munoz Negron, Ana Colubi<\/li>\n\t
Local Organizing Committee:<\/em> Alessandra Amendola, Enea Bongiorno, Fabrizio Durante, Marzia Freo, Paolo Giordani<\/li>\n<\/ul>\n\nImportant dates<\/h2>\n\n
\n\t
Abstract submission for invited and organized sessions: 17 April 2022 deadline<\/li>\n\t
Contributed abstract submission: 15 May 2022 deadline<\/li>\n\t
Presenting Authors registration: 27 May 2022 deadline<\/li>\n\t
Notification decision for abstract submissions: 22 May 2022 deadline<\/li>\n\t
Conference: 23-26 August 2022<\/li>\n<\/ul>\n\n
Submit your abstract<\/a><\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>\n","editable":false,"start":"2020-08-25","allDay":true,"end":"2020-08-29","backgroundColor":"#ffffff"},{"title":"27th Pfizer\/ASA\/UConn Distinguished Statistician Colloquium","id":"26-0","eid":"1046","url":"\/events\/node-1046","des":"
27th Pfizer\/ASA\/UConn Distinguished Statistician Colloquium<\/a><\/h2>\n
<\/p>\n\n
The colloquium will be held on 20 October 2021 and will provide a forum for a distinguished statistician to share and disseminate their unique perspective and work in the theory and\/or application of statistics.<\/p>\n\n
\n
$\"$ <\/p>\n\n
The Department of Statistics at the University of Connecticut is honored to announce the 27th Distinguished Statistician Colloquium. The Pfizer colloquium series range from 1978 until 2012 and was renewed in 2018. The colloquium series featured C. R. Rao, Bradley Efron, D.R. Cox, Grace Wahba and many more. See the complete list<\/a>.<\/p>\n\n
The purpose of the Colloquium is to provide a forum for a distinguished statistician to share and disseminate their unique perspective and work in the theory and\/or application of statistics. Starting from 2018, the series has been co-sponsored by Pfizer, the American Statistical Association, and the Department of Statistics at the University of Connecticut.<\/p>\n\n
This year\u2019s speaker will be Mary W. Gray, Distinguished Professor of Mathematics and Statistics, American University. Professor Gray will give a presentation entitled, \u201cStatistics and Human Rights,\u201d under the auspices of the Pfizer Colloquia by Distinguished Statisticians in Honor of Dr. David S. Salsburg.<\/p>\n\n
Following the lecture will be the Conversation with Distinguished Statisticians in Memory of Professor Harry O. Posten. This discussion with Professor Gray will be led by Nancy Flournoy, Professor Emerita from University of Missouri, and Nawar Shara, Director, Department of Biostatistics and Biomedical Informatics, and Associate Professor of Medicine from Georgetown University.<\/p>\n\n
\u00a0<\/p>\n\n
Date: 20 October 2021<\/strong><\/p>\n\n
Time: 3:00 \u2013 5:00 PM ET<\/a><\/p>\n\n
Registration<\/a><\/p>\n\n
\u00a0<\/p>\n\n
If you have questions, please contact Juliet Kapsis at juliet.kapsis@uconn.edu or conferences@uconn.edu .<\/p>\n\n
We thank Pfizer and the ASA for their generous financial support. We also thank the members of the selection committee \u2013 Dan Meyer and Demissie Alemayehu from Pfizer, Ron Wasserstein and Nancy Flournoy from the ASA, and Dipak Dey (Chair), Joseph Glaz and Ming-Hui Chen from UConn. Professor Chen also represents the New England Statistical Society (NESS).<\/p>","editable":false,"start":"2021-10-20","allDay":true,"end":"2021-10-21","backgroundColor":"#ffffff"},{"title":"28th International Workshop on Matrices & Statistics (IWMS 2020)","id":"27-0","eid":"1047","url":"\/events\/node-1047","des":"
28th International Workshop on Matrices & Statistics (IWMS 2020)<\/a><\/h2>\n
Manipal, India<\/p>\n\n
The 28th International Workshop on Matrices and Statistics, IWMS 2020, will be held at the Center for Advanced Research for Applied Mathematics and Statistics, Manipal Academy of Higher Education, (MAHE) Manipal, Karnataka, India. The theme of workshop shall focus on:<\/p>\n\n
\n
Matrix Analysis,<\/li>\n\n
Projectors in Linear Models & Multivariate Analysis,<\/li>\n\n
Growth Curve Models,<\/li>\n\n
Linear Regression Models,<\/li>\n\n
Linear Statistical Inference,<\/li>\n\n
Modelling Covariance Structures,<\/li>\n\n
Multivariate and Mixed Linear Models,<\/li>\n\n
Statistics in Big Data Analysis.<\/li>\n\n<\/ul>\n\n
This series of Workshops has a long history<\/a>, and we welcome the opportunity to hold the workshop once again in India. CRR Day on 17th December 2020 : The present 28th IWMS will be held beside ICLAA 2020 (December 17-19, 2020) and CRR Day will be on 17th December 2017, the common day of events, to celebrate 100 years of C. R. Rao, who is among great Statisticians and Matrix theorist India ever produced. We are sure that 28th IWMS will be a great success with the participation of prominent researchers from across the globe working in Statistics, Matrix Theory and allied subjects. The purpose of the Workshop is to stimulate research and, in an informal setting, to foster the interaction of researchers in the interface between statistics and matrix theory. The Workshop will provide a forum through which statisticians may be better informed of the latest developments and newest techniques in linear algebra and matrix theory and may exchange ideas with researchers from a wide variety of countries. As well as range of plenary speakers we are to strengthening the interactions between participants by organizing a range of minisymposia in various specialist areas.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-12-15","allDay":true,"end":"2020-12-18","backgroundColor":"#ffffff"},{"title":"2nd Biennial International Workshop and Conference on Economic and Social Goods Forecasting in Time of Covid-19: Data Analytics and Forecasting Methods","id":"28-0","eid":"1048","url":"\/events\/node-1048","des":"
2nd Biennial International Workshop and Conference on Economic and Social Goods Forecasting in Time of Covid-19: Data Analytics and Forecasting Methods<\/a><\/h2>\n
Virtual & University of Ibadan, Nigeria)<\/p>\n\n
A - 3 Day Capacity Building Workshop and International Conference, to be held in Nigeria on 16 - 18 June, 2021.<\/p>\n\n
$\"West$ <\/p>\n\n
Flyer<\/a><\/p>\n\n
Our Target audience are Young Statisticians, Practitioners, Researchers Industries and Government Organizations in West Africa. Our focus this year is Economic and Social Goods Impact and Forcaste in the Era of COVID-19, its Data Visualization and Methods.<\/p>\n\n
Venue: VIRTUAL and On Site
\n(International Conference Centre, University of Ibadan, Ibadan, Nigeria)<\/p>\n\n
Website<\/a><\/p>\n","editable":false,"start":"2021-06-16","allDay":true,"end":"2021-06-19","backgroundColor":"#ffffff"},{"title":"30th International Biometric Conference (IBC 2020)","id":"29-0","eid":"1049","url":"\/events\/node-1049","des":"
30th International Biometric Conference (IBC 2020)<\/a><\/h2>\n
Virtual<\/p>\n\n
Dear Colleagues,<\/p>\n\n
As you know, IBC2020 cannot proceed as planned this coming July due to the global COVID-19 pandemic. It is such a shame, especially since the Korean Region had been working so hard to arrange a welcoming and exciting conference for us all.<\/p>\n\n
We have spent quite some time thinking through options and have decided that even postponing until 2021 could be problematic, since it is not at all clear when global travel will return to normal. Also, we know there are many options for other meetings next year including the various regional meetings that are usually held in the IBC off-year. Indeed, the Korean Region are looking to run a small conference that incorporates some of the planned elements from IBC2020. Please stay tuned!<\/p>\n\n
But the good news is that we are actively planning to offer some of the planned IBC2020 options virtually. We will be in touch with more detail in a week or so. Because of the time differences among us all, we plan to deliver our virtual IBC offerings over a number of weeks and will be picking a few time slots so as to make it feasible for everyone to join.<\/p>\n\n
We will be asking a modest fee to participate in the virtual IBC2020, though there will be options for waived and reduced fees for members. Our top priority is to provide you, our members, with some useful sessions.<\/p>\n\n
But if you are in a position to pay the fee (e.g. if your university or organization will cover it for you), we will be very grateful since this will help offset some of the significant losses IBS has incurred due to the in-person conference being cancelled.<\/p>\n\n
We look forward to seeing you on line soon and in person before too much longer!<\/p>\n\n
Sincerely,<\/p>\n\n
Louise Ryan
\nIBC2020 Organizing President<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-07-05","allDay":true,"end":"2020-09-01","backgroundColor":"#ffffff"},{"title":"31st International Biometric Conference (IBC 2022)","id":"30-0","eid":"1050","url":"\/events\/node-1050","des":"
31st International Biometric Conference (IBC 2022)<\/a><\/h2>\n
Riga, Latvia<\/p>\n\n
$\"\"$ <\/p>\n\n
Save the Date!\u00a0<\/strong>
\nIBC2022 Short Course Program | 10 July 2022
\n31 International Biometric Conference (IBC2022) | 11 - 15 July 2022<\/p>\n\n
The deadline for submissions is\u00a023 April 2021.<\/strong><\/p>\n\n
Call for Invited Session Proposals<\/a>
\nDownload Application:\u00a0 Invited Session Proposal Template<\/a>\u00a0(the download will be a WORD document)<\/p>\n\n
The IBS is pleased to provide some extra time for you to submit your proposal for an Invited Session at the 31st International Biometrics Conference in Riga, Latvia 11-15 July 2022.<\/p>\n\n
Our international community is excited to come together once again for in-person learning and collaboration.\u00a0<\/p>\n","editable":false,"start":"2022-07-11","allDay":true,"end":"2022-07-16","backgroundColor":"#ffffff"},{"title":"3rd Conference on Statistics and Data Science - CSDS 2021","id":"31-0","eid":"1052","url":"\/events\/node-1052","des":"
3rd Conference on Statistics and Data Science - CSDS 2021<\/a><\/h2>\n
Salvador, Brazil (virtual conference)<\/p>\n\n
The 3rd Conference on Statistics and Data Science (CSDS 2021) will be held virtually on 28\u201330 October 2021.<\/p>\n\n
$\"CSDS$ \u00a0 \u00a0 <\/p>\n\n
The registration is free.<\/strong>
\nJoin us<\/a>!<\/p>\n\n
The organisation of this meeting will be carried out in collaboration with the Department of Statistics at the Federal University of Bahia, Brazil.<\/p>\n\n
The purpose of the CSDS 2021 is to bring together researchers and practitioners, from the academy and from the industry, that develop and apply statistical and computational methods for data science. This conference will provide a forum to share and discuss ways to improve the access to knowledge, and promote interdisciplinary collaborations. The scientific program will be very appealing for most statisticians and data scientists interested in quantitative methods for decision making and will include plenary talks, invited sessions, short courses, round tables, contributed papers, and contributed posters.<\/p>\n\n
This event is endorsed by the International Statistical institute.<\/em><\/p>","editable":false,"start":"2021-10-28","allDay":true,"end":"2021-10-31","backgroundColor":"#ffffff"},{"title":"40th Finnish summer school in Probability and Statistics","id":"32-0","eid":"1053","url":"\/events\/node-1053","des":"
40th Finnish summer school in Probability and Statistics<\/a><\/h2>\n
Lammi, Finland<\/p>\n\n
The mission of the summer school<\/a> is to provide one-week intensive courses on active research topics in probability and statistics, lectured by leading scholars in the field. The school is targeted primarily for doctoral students in probability, statistics, and related areas. The school is organized by the Finnish Doctoral Education Network in Stochastics and Statistics (FDNSS). It is sponsored by the Bernoulli Society and financially supp orted by the Magnus Ehrnrooth foundation and by the Doctoral Programme in Mathematics and Statistics of the University of Helsinki DOMAST.<\/p>","editable":false,"start":"2022-05-23","allDay":true,"end":"2022-05-28","backgroundColor":"#ffffff"},{"title":"41st Annual Conference of the ISCB","id":"33-0","eid":"1054","url":"\/events\/node-1054","des":"
41st Annual Conference of the ISCB<\/a><\/h2>\n
Virtual<\/p>\n\n
The International Society for Clinical Biostatistics (ISCB) was founded in 1978 to stimulate research into the principles and methodology used in the design and analysis of clinical research and to increase the relevance of statistical theory to the real world of clinical medicine. 41st Annual Conference of ISCB will be organized in the historic city of Poland, Krakow. The conference will provide the scientific forum for international exchange of recent advances and trends in theory, methods and applications of biostatistics. In line with previous conferences, courses and social events will be organized.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-08-23","allDay":true,"end":"2020-08-28","backgroundColor":"#ffffff"},{"title":"42nd Annual Conference of the Iscb","id":"34-0","eid":"1055","url":"\/events\/node-1055","des":"
42nd Annual Conference of the Iscb<\/a><\/h2>\n
Lyon, France<\/p>\n\n
The International Society for Clinical Biostatistics (ISCB) was founded in 1978 to stimulate research into the principles and methodology used in the design and analysis of clinical research and to increase the relevance of statistical theory to the real world of clinical medicine. The 42nd Annual Conference of ISCB will be held in Lyon (France), a city located at the confluence of two rivers (Rh\u00f4ne and Sa\u00f4ne) and whose old center is registered on the UNESCO list of World Heritage Sites. This Conference will provide statisticians the opportunity to present, discover, and exchange their most recent theories, methods, applications, and experiences in all biological and medical disciplines. It will also be the occasion for fruitful meetings, discussions, and collaborations between researchers in various biomedical fields.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-07-18","allDay":true,"end":"2021-07-23","backgroundColor":"#ffffff"},{"title":"42nd Conference on Stochastic Processes and their Applications (SPA)","id":"35-0","eid":"1056","url":"\/events\/node-1056","des":"
42nd Conference on Stochastic Processes and their Applications (SPA)<\/a><\/h2>\n
Wuhan, China<\/p>\n\n
Previously scheduled for July 2021, the conference will take place in 2022. SPA Conferences are organized under the patronage of the Bernoulli Society and can justifiably be regarded as the most important international scientific meeting on the theory and applications of stochastic processes. They are held annually except for the years when the World Congress in Probability and Statistics takes place. This iteration will be hosted by Wuhan University.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2022-06-27","allDay":true,"end":"2022-07-02","backgroundColor":"#ffffff"},{"title":"44th annual conference of the ISCB","id":"36-0","eid":"1057","url":"\/events\/node-1057","des":"
44th annual conference of the ISCB<\/a><\/h2>\n
Milano, Italy<\/p>\n\n
The conference is 5 days filled with courses, presentations, mini-symposia and discussions about everything and anything related to clinical biostatistics, together with an exciting social programme.<\/p>\n\n
Website<\/a>.\u00a0<\/p>\n","editable":false,"start":"2023-08-27","allDay":true,"end":"2023-09-01","backgroundColor":"#ffffff"},{"title":"4th International Conference on Econometrics and Statistics","id":"37-0","eid":"1058","url":"\/events\/node-1058","des":"
4th International Conference on Econometrics and Statistics<\/a><\/h2>\n
Virtual, Hong Kong<\/p>\n\n
Virtual EcoSta 2021, HKUST, Hong Kong, 24-26 June 2021<\/a><\/p>\n\n
The programme is now ready. It is composed of about 115 sessions comprising over 425 presentations.
\nThe full programme and list of participants are available here<\/a>.<\/p>\n\n
Posters and selected short talks<\/a> will still be considered until the free slots are filled.<\/p>\n\n
Keynote Speakers<\/strong>:<\/p>\n\n
\n
Elvezio Ronchetti, University of Geneva, Switzerland.<\/li>\n\n
Yoon-Jae Whang, Seoul National University, Korea, South.<\/li>\n\n
Xinyuan Song, Chinese University of Hong Kong, Hong Kong.<\/li>\n\n<\/ul>\n\n
Co-Chairs<\/strong>:<\/p>\n\n
\n
Tomohiro Ando,<\/li>\n\n
Lixing Zhu,<\/li>\n\n
Andreas Christmann,<\/li>\n\n
Mike So.<\/li>\n\n<\/ul>\n\n
A tutorial given by Prof. Elvezio Ronchetti<\/a> has been organized for the 23rd of June.<\/p>\n\n
Important dates<\/strong>:
\nLate registration: 1 June 2021
\nTutorials: 23 June 2021
\nConference: 24-26 June 2021<\/p>","editable":false,"start":"2021-06-24","allDay":true,"end":"2021-06-27","backgroundColor":"#ffffff"},{"title":"5th Symposium of Statistics, Probability, and Inference in the Classroom5th Symposium of Statistics, Probability, and Inference in the Classroom","id":"38-0","eid":"1059","url":"\/events\/node-1059","des":"
5th Symposium of Statistics, Probability, and Inference in the Classroom5th Symposium of Statistics, Probability, and Inference in the Classroom<\/a><\/h2>\n
Virtual<\/p>\n\n
V Simposio de Estadistica, Probabilidad e Inferencia en el Aula<\/h2>\n
Organized by the Early Statistics Research Group of the Pontificia Universidad Catolica de Valparaiso, Chile.<\/p>\n\n
More information<\/a>.<\/p>","editable":false,"start":"2021-12-10","allDay":true,"end":"2021-12-11","backgroundColor":"#ffffff"},{"title":"63rd ISI World Statistics Congress 2021","id":"39-0","eid":"1060","url":"\/events\/node-1060","des":"
63rd ISI World Statistics Congress 2021<\/a><\/h2>\n
Virtualhttps:\/\/www.isi-web.org\/events\/wsc<\/p>\n\n
$\"$ This major biannual conference of the International Statistical Institute will take place virtually from 11\u201316 July 2021 in The Hague.<\/p>\n\n
More than 2500 participants are expected from over 130 countries. They can choose from over 1300 presentations.<\/p>\n\n
This is a unique chance for statisticians from the Netherlands to acquaint with new colleagues and meet some the world\u2019s leading experts in our science.<\/p>\n\n
\n
\u00a0<\/div>\n","editable":false,"start":"2021-07-11","allDay":true,"end":"2021-07-17","backgroundColor":"#ffffff"},{"title":"64th ISI World Statistics Congress 2023","id":"40-0","eid":"1061","url":"\/events\/node-1061","des":"
64th ISI World Statistics Congress 2023<\/a><\/h2>\n
Ottawa, Canada<\/p>\n\n
The Congress will be held in the Shaw Centre, in the heart of the city.<\/p>\n\n
\n
Website<\/a><\/p>\n","editable":false,"start":"2023-07-16","allDay":true,"end":"2023-07-21","backgroundColor":"#0000af"},{"title":"6th IMS Asia Pacific Rim Meeting","id":"41-0","eid":"1062","url":"\/events\/node-1062","des":"
6th IMS Asia Pacific Rim Meeting<\/a><\/h2>\n
Melbourne, Australia<\/p>\n\n
The Institute of Mathematical Statistics APRM will provide an excellent forum for scientific communications and collaborations for the researchers in Asia and the Pacific Rim, and promote communications and collaborations between the researchers in this area and those from other parts of the world. The program covers a wide range of topics in statistics and probability, presenting recent developments and the state of the art in a variety of modern research topics and in applications Invited session proposals are now being considered.\u00a0<\/span>The conference has been postponed until January 2023<\/strong>.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2023-01-05","allDay":true,"end":"2023-01-06","backgroundColor":"#ffffff"},{"title":"6th International Conference on Big Data for Official Statistics","id":"42-0","eid":"1063","url":"\/events\/node-1063","des":"
6th International Conference on Big Data for Official Statistics<\/a><\/h2>\n
Virtual<\/p>\n\n
The 6th International Conference on Big Data for official statistics will take place from 31 August \u2014 2 September 2020 as a virtual event due to the COVID-19 pandemic.<\/p>\n\n
The main theme of the Conference is \u201cHow can Big Data help in the COVID-19 response?\u201d Related themes are: \u201cHow can Big Data support the monitoring of the progress towards the Sustainable Development Goals?\u201d and \u201cThe need for global data collaboration on global emerging issues\u201d.<\/p>\n\n
The Conference is organized by Statistics Korea and the United Nations Global Working Group (GWG) on Big Data for Official Statistics, which was created under the UN Statistical Commission in 2014.<\/p>\n\n
The GWG provides strategic vision, direction and the coordination of a global programme on the use of new data sources and new technologies, which are essential for national statistical systems to remain relevant in a fast-moving data landscape. Over the years the GWG produced guidance through Handbooks and training materials on topics such as use of satellite data for estimating agricultural crop statistics, use of mobile phone data for measuring tourism statistics or use of scanner data for calculating price statistics. The GWG also built a digital collaborative environment (called the UN Global Platform) to work together on new data solutions with the whole statistical community and to learn together.<\/p>\n\n
Use of new data sources and new technologies, such as AI and machine learning, can make statistical operations more cost effective and provide timelier, more frequent and more granular statistical outputs, which is especially important to support rapid assessment of the COVID-19 situation and the 2030 Agenda for Sustainable Development and its 231 SDG indicators. This conference will demonstrate how that is possible.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-08-31","allDay":true,"end":"2020-09-03","backgroundColor":"#ffffff"},{"title":"76th Annual Deming Conference on Applied Statistics","id":"43-0","eid":"1064","url":"\/events\/node-1064","des":"
76th Annual Deming Conference on Applied Statistics<\/a><\/h2>\n
Atlantic City, NJ, USA<\/p>\n\n
The purpose of the 3-day Deming Conference on Applied Statistics is to provide a learning experience on recent developments in statistical methodologies in biopharmaceutical applications. The conference is composed of twelve three-hour tutorials on current topics in applied biopharmaceutical statistic and FDA regulations, two one-hour distinguished keynotes on Monday and Tuesday, and a special session on Wednesday. The books, on which these sessions are based, are available for sale at an approximately 40% discount. Attendees will receive program proceedings of the presentations. There will also be poster sessions.<\/p>\n\n
The conference is sponsored by the American Statistical Association Biopharmaceutical Section. Walter Young has chaired this conference for 50 consecutive years. The program committee include: Alfred Balch, Joseph Borden, Ivan Chan, (Din) Ding-Geng Chen, Kalyan Ghosh, Satish Laroia, Xiaoming Li, Sofia Paul, Manoj Patel, Naitee Ting, Bill Wang, Wenjin Wang, Yibin Wang, Li-an Xu, Walter Young, Pinggao Zhang. The conference, from December 7 to December 9, 2020, will be followed by three parallel 2-day short course, all at the state-of-the-art Tropicana Casino and Resort, Havana Tower, Atlantic City, NJ.<\/p>\n\n
The full program as well as a downloadable printed version will be available on our website by June 1st and online registration will open in August. For more information about the conference, please email Din Chen or visit the website.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-12-07","allDay":true,"end":"2020-12-12","backgroundColor":"#ffffff"},{"title":"77th Annual Deming Conference on Applied Statistics","id":"44-0","eid":"1065","url":"\/events\/node-1065","des":"
77th Annual Deming Conference on Applied Statistics<\/a><\/h2>\n
Atlantic City, NJ, USA<\/p>\n\n
The 77th Annual Deming Conference on Applied Statistics will be held from Monday Dec. 6 to Wednesday Dec. 8, 2021, followed by two parallel 2-day short courses on Thursday Dec. 9 and Friday Dec. 10 at the state-of-the-art Tropicana Casino and Resort, Havana Tower, Atlantic City, NJ.<\/p>\n\n
The purpose of the 3-day Deming Conference on Applied Statistics is to provide a learning experience on recent developments in statistical methodologies in biopharmaceutical applications. The conference is composed of twelve three-hour tutorials on current topics in applied biopharmaceutical statistic and FDA regulations, and a one-hour distinguished keynote speaker on each of the 3 days of the conference. The books, on which these sessions are based, are available for sale at an approximately 40% discount. Attendees will receive hard copy program proceedings of the presentations.<\/p>\n\n
There will be poster sessions. Early registrants who submit a poster presentation will receive a $150 discount. For poster submission, please contact \u201cDeming Poster Chair\u201d: Dr. Pinggao Zhang at email: pinggao.zhang@takeda.com.<\/p>\n\n
There will be student scholar presentations. For a student scholar application, please contact \u201cDeming Scholar Chair\u201d: Dr. Sofia Paul at email: sofia.x.paul@gsk.com.<\/p>\n\n
The conference is sponsored by the American Statistical Association Biopharmaceutical Section. Walter Young has chaired this conference for 52 consecutive years. The program committee include: Alfred Balch, Joseph Borden, Ivan Chan, (Din) Ding-Geng Chen, Kalyan Ghosh, Satish Laroia, Sofia Paul, Manoj Patel, Naitee Ting, Bill Wang, Wenjin Wang, Yibin Wang, Li-an Xu, Walter Young and Pinggao Zhang.<\/p>\n\n
For more information about the conference, please visit the website<\/a> or email Din Chen, Deming Publicity Chair, at din@demingconference.org.<\/p>\n\n
Registration is expected to open by mid-August and one page program should be available by that time<\/p>","editable":false,"start":"2021-12-06","allDay":true,"end":"2021-12-09","backgroundColor":"#ffffff"},{"title":"8th International Conference Use of R in Official Statistics","id":"45-0","eid":"1066","url":"\/events\/node-1066","des":"
8th International Conference Use of R in Official Statistics<\/a><\/h2>\n
Vienna, Austria<\/p>\n\n
8th International Conference Use of R in Official Statistics Side events include the unconfUROS hackathon and an R crash course. The call for abstracts for presentations and tutorials is published on the conference’s website www.urosconf.org. Submission deadline is 31 December 2019. We have already fixed two inspiring keynotes:<\/p>\n\n
\n
Isabel Molina Peralta with \u201cSmall area estimation using R, with application to poverty mapping.\u201d<\/li>\n\n
Matthias Templ with \u201cFunctional data analysis in Bayes Spaces with an Application to spatio-temporal population data\u201d.<\/li>\n\n<\/ul>\n\n
For regular updates follow us on Twitter<\/a>. We look forward to meeting you at the conference.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-12-02","allDay":true,"end":"2020-12-05","backgroundColor":"#ffffff"},{"title":"A Spatial and Temporal Statistics Symposium (STSS)","id":"46-0","eid":"1067","url":"\/events\/node-1067","des":"
A Spatial and Temporal Statistics Symposium (STSS)<\/a><\/h2>\n
<\/p>\n\n
The symposium mainly focuses on the development and collaboration between PhD students in spatial and temporal statistics. Its aim is to stimulate discussion on recent developments in methodology and applications in spatial and temporal statistics. For more information please see the STSS website<\/a><\/p>","editable":false,"start":"2021-02-17","allDay":true,"end":"2021-02-20","backgroundColor":"#ffffff"},{"title":"A statistician reads the news: Statistics and data science challenges in content analytics","id":"47-0","eid":"1068","url":"\/events\/node-1068","des":"
A statistician reads the news: Statistics and data science challenges in content analytics<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"ISBIS\"$ <\/p>\n\n
The third installment of this webinar series will be delivered by Dr. Bonnie Ray on Friday, 19 February at 4:00 pm CET (Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna time).<\/p>\n\n
The webinar is for free:<\/p>\n\n
Register here<\/a><\/p>\n\n
Title<\/strong>: \u201cA statistician reads the news: Statistics and data science challenges in content analytics\u201d<\/p>\n\n
Abstract<\/strong>: Understanding reader engagement with digital content is critical for driving editorial decisions and revenue strategies. In this talk, I’ll discuss some of the computing and statistical challenges faced at Chartbeat, a content analytics company that works with publishers in over 70 countries measuring over 60B page views per month. In particular, I’ll discuss approaches to providing automated insights on trends and unusual spikes in engagement, attribution of reader events to content engagement, and grouping of news articles into meaningful topics. I’ll end by reviewing some of the top stories of 2021 based on reader engagement.<\/p>\n\n
About the Speaker<\/strong>: Bonnie K. Ray, PhD, is Vice President, Data Science, at Talkspace. She holds a PhD in statistics from Columbia University, USA. Dr. Ray currently leads data science activities at Talkspace, a NYC-based startup that enables improved mental health for all by providing an affordable, accessible, and secure platform for messaging-based psychotherapy. Previously, she led the data science team at Arena, a Baltimore-based startup focused on analytics-driven hiring assessments. From 2001\u20132015, she held positions of increasing responsibility at IBM Research, where her role immediately prior to moving to the start-up world was director of cognitive algorithms and she led teams charged with developing machine learning methods for next-generation AI applications. A graduate of Columbia University and Baylor University, Bonnie started her career in academia as a post-doctoral fellow at the Naval Postgraduate School working with the late Professor Peter Lewis on his study of sea surface temperatures. She went on to hold assistant and associate professor faculty positions in the applied mathematics department at the New Jersey Institute of Technology, during which time she received three National Science Foundation awards, including a CAREER grant awarded to promising young scientists that funded her educational and research activities related to environmental time series analysis. Dr. Ray has published more than 60 refereed papers, holds 12+ patents, and is an elected Fellow of the American Statistical Association.<\/p>\n\n
\u00a0<\/p>\n\n
Organizer<\/strong>: Fabrizio Ruggeri<\/a><\/p>","editable":false,"start":"2021-02-19","allDay":true,"end":"2021-02-20","backgroundColor":"#ffffff"},{"title":"American Statistical Association Conference on Statistical Practice","id":"48-0","eid":"1069","url":"\/events\/node-1069","des":"
American Statistical Association Conference on Statistical Practice<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"\u201cCSP\"$ <\/aside>\n
The 2021 American Statistical Association Conference on Statistical Practice aims to bring together hundreds of statistical practitioners and data scientists\u2014including data analysts, researchers, and scientists\u2014who engage in the application of statistics to solve real-world problems daily.<\/p>\n\n
The goal of the conference is to provide participants with opportunities to learn new statistical methodologies and best practices in statistical analysis, design, consulting, and programming. The conference is designed to help applied statisticians improve their ability to consult with and aid customers and organizations solve real-world problems.<\/p>\n\n
\n
Learn statistical techniques that apply to your job as an applied statistician<\/li>\n\n
Learn how to better communicate with customers<\/li>\n\n
Learn how to have a positive impact on your organization<\/li>\n\n<\/ul>\n\n
CSP 2021 will offer courses, tutorials, a featured speaker, concurrent sessions, poster sessions, a closing session, exhibits, and more.<\/p>","editable":false,"start":"2021-02-17","allDay":true,"end":"2021-02-20","backgroundColor":"#ffffff"},{"title":"An Introduction to Functional Data Analysis for Density Functions in Bayes spaces","id":"49-0","eid":"1070","url":"\/events\/node-1070","des":"
An Introduction to Functional Data Analysis for Density Functions in Bayes spaces<\/a><\/h2>\n
<\/p>\n\n
$\"ISI$ <\/p>\n\n
The analysis of distributional data (probability density functions or histogram data) has recently gained increasing attention in the applications. Distributional data are often observed by themselves, or as result of aggregation of large streams of data. The course will provide an introduction to the analysis of these data using a Functional Data Analysis (FDA) approach, grounded on the perspective of Bayes spaces. These spaces are mathematical spaces whose points are densities (or, more generally, measures), which generalize to the FDA setting the Aitchison simplex for multivariate compositional data. The course will give an overview of the theory of Bayes spaces, as well as of statistical methods developed in this setting. All the methods will be illustrated through examples from real case studies.<\/p>\n\n
Register for this event<\/a><\/p>","editable":false,"start":"2021-04-29","allDay":true,"end":"2021-05-01","backgroundColor":"#ffffff"},{"title":"An Introductory Course in Competing Risks","id":"50-0","eid":"1071","url":"\/events\/node-1071","des":"
An Introductory Course in Competing Risks<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course\u00a0 here<\/a>.<\/p>\n\n
Register<\/a>\u00a0for this event.<\/p>","editable":false,"start":"2021-05-28","allDay":true,"end":"2021-05-29","backgroundColor":"#ffffff"},{"title":"ANZSC 2021 \u2013 Australian Statistical Society and New Zealand Statistical Association Conference","id":"51-0","eid":"1072","url":"\/events\/node-1072","des":"
ANZSC 2021 \u2013 Australian Statistical Society and New Zealand Statistical Association Conference<\/a><\/h2>\n
Gold Coast, Australia<\/p>\n\n
$\"\u201cANZSC\"$ <\/aside>\n
This conference brings together four leading statistical communities in the region \u2013 the Statistical Society of Australia<\/a>, the New Zealand Statistical Association,<\/a> the International Institute of Business Analysis<\/a> (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.<\/p>\n\n
The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.<\/p>\n\n
With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-07-05","allDay":true,"end":"2021-07-10","backgroundColor":"#ffffff"},{"title":"Applied Statistics 2020","id":"52-0","eid":"1073","url":"\/events\/node-1073","des":"
Applied Statistics 2020<\/a><\/h2>\n
Ribno (Bled), Slovenia<\/p>\n\n
The conference, organized in Ribno in the vicinity of the beautiful Lake Bled, will provide an opportunity for researchers in statistics, data scientists and analysts, and other professionals from various statistical and related fields to come together, present their research, and learn from each other. Cross-discipline and applied paper submissions are especially welcome. A three days program consists of invited paper presentations, contributed paper sections from diverse topics, and starts with a workshop.<\/p>\n\n
Selected papers will be published in Advances in Methodology and Statistics, a peer-reviewed journal of the Statistical Society of Slovenia.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-09-20","allDay":true,"end":"2020-09-24","backgroundColor":"#ffffff"},{"title":"Applied Statistics International Conference","id":"53-0","eid":"1074","url":"\/events\/node-1074","des":"
Applied Statistics International Conference<\/a><\/h2>\n
Virtual<\/p>\n\n
Applied Statistics conference provides an opportunity for researchers in statistics, data analysts, and other professionals from various statistical and related fields to come together, present their research and learn from each other.<\/p>\n\n
The invited speakers this year will be:<\/p>\n\n
Jan Beyersmann<\/strong> (Ulm University, Germany) - On censoring (with a nod towards causality)<\/p>\n\n
Anu\u0161ka Ferligoj<\/strong> (University of Ljubljana, Slovenia) - Clustering of attribute and\/or relational data<\/p>\n\n
Richard De Veaux<\/strong> (Williams College, USA) - The Seven Deadly Sins of Data Science \u2013 and How to Avoid Them<\/p>\n\n
The workshop \u201cSHARE dataset and analysis of nonstandard data: examples and applications<\/strong>\u201d will be held by Andrej Srakar<\/strong> (Institute for Economic Research, Slovenia).<\/p>","editable":false,"start":"2021-09-20","allDay":true,"end":"2021-09-23","backgroundColor":"#ffffff"},{"title":"Around the World CWS Conference","id":"54-0","eid":"1075","url":"\/events\/node-1075","des":"
Around the World CWS Conference<\/a><\/h2>\n
Virtual<\/p>\n\n
A Celebration of the Impact of the Caucus for Women in Statistics<\/h2>\n
Statistics is the most important science in the whole world: for upon it depends the practical application of every other science and of every art: the one science essential to all political and social administration, all education, all organization based on experience, for it only gives results of our experience.
\n~Florence Nightingale<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-12-07","allDay":true,"end":"2021-12-08","backgroundColor":"#ffffff"},{"title":"Basketball Data Analysis","id":"55-0","eid":"1076","url":"\/events\/node-1076","des":"
Basketball Data Analysis<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>\n","editable":false,"start":"2021-06-21","allDay":true,"end":"2021-06-23","backgroundColor":"#ffffff"},{"title":"Bernoulli-IMS 10th World Congress in Probability and Statistics (BS-IMS-WC)","id":"56-0","eid":"1077","url":"\/events\/node-1077","des":"
Bernoulli-IMS 10th World Congress in Probability and Statistics (BS-IMS-WC)<\/a><\/h2>\n
Seoul, Korea<\/p>\n\n
The congress is the latest in a series organized jointly by the Bernoulli Society and the Institute of Mathematical Statistics. Held every four years, the Congress is a worldwide event covering all branches of statistics and probability. This includes theoretical, methodological, applied and computational statistics and probability, as well as stochastic processes. The latest scientific developments in all of these fields are showcased. It will be held at the Seoul National University.<\/p>","editable":false,"start":"2021-07-19","allDay":true,"end":"2021-07-24","backgroundColor":"#ffffff"},{"title":"Bernoulli-IMS One World Symposium 2020","id":"57-0","eid":"1078","url":"\/events\/node-1078","des":"
Bernoulli-IMS One World Symposium 2020<\/a><\/h2>\n
Virtual<\/p>\n\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/p>\n\n
Join us for the Bernoulli-IMS One World Symposium 2020, August 24-28, 2020. The meeting will be virtual, with many new experimental features. Participation at the symposium is FREE, registration is mandatory<\/a>. As of July 27, we have 1600 registered participants, 600 pre-recorded talks and 130 posters.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-08-24","allDay":true,"end":"2020-08-29","backgroundColor":"#ffffff"},{"title":"Beyond Big Data: Shaping the Future","id":"58-0","eid":"1079","url":"\/events\/node-1079","des":"
Beyond Big Data: Shaping the Future<\/a><\/h2>\n
St. Louis, Missouri<\/p>\n\n
$\"$ St. Louis, Missouri, will host the 2021 Symposium on Data Science and Statistics (SDSS). The symposium provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas, as well as enjoy a broad-range of programming about new data tools and methodologies.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-06-02","allDay":true,"end":"2021-06-06","backgroundColor":"#ffffff"},{"title":"Big Data Meets Survey Science (BigSurv20)","id":"59-0","eid":"1080","url":"\/events\/node-1080","des":"
Big Data Meets Survey Science (BigSurv20)<\/a><\/h2>\n
Utrecht, The Netherlands<\/p>\n\n
BigSurv20 will be held at Utrecht University, in Utrecht, The Netherlands. The conference offers an opportunity to address the ongoing paradigm shift in how researchers produce, analyze, and use statistics. The event is intended to foster communication, collaboration, and understanding between two groups: (1) computer and data scientists focusing on Big Data sources and analysis techniques, and (2) methodologists and social science researchers working with traditional sources of data collection and statistical analyses. By uniting efforts, we can identify and overcome academic divides and make unified \u201cBig Survey Data\u201d population inference a reality. Utrecht is located a convenient 25-minute train ride from Amsterdam airport, and has excellent train connections to the rest of Europe.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-11-06","allDay":true,"end":"2020-12-05","backgroundColor":"#ffffff"},{"title":"BIG4small: SAE 2021 Conference on big data and small area estimation","id":"60-0","eid":"1081","url":"\/events\/node-1081","des":"
BIG4small: SAE 2021 Conference on big data and small area estimation<\/a><\/h2>\n
Naples, Italy<\/p>\n\n
$\"SAE2021\"$ <\/a><\/aside>\n
Conference on Small Area Estimation<\/a>, with the theme \u201cBig Data for Small Areas\u201d<\/p>\n\n
The main purpose of the proposed meeting will be to assess the current state of development and usage of small area methodology. We hope that this meeting will serve as a bridge among statisticians, computer scientists, engineers, and practitioners working on small area estimation in academia, private and government agencies. This meeting in Naples will give researchers an opportunity to learn about state-of-the-art small area estimation techniques from the experts in the field. We look forward to seeing you in Naples, Italy!<\/p>","editable":false,"start":"2021-09-20","allDay":true,"end":"2021-09-25","backgroundColor":"#ffffff"},{"title":"Bootstrap Methods and Permutation Tests","id":"61-0","eid":"1082","url":"\/events\/node-1082","des":"
Bootstrap Methods and Permutation Tests<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-18","allDay":true,"end":"2021-06-19","backgroundColor":"#ffffff"},{"title":"Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data","id":"62-0","eid":"1083","url":"\/events\/node-1083","des":"
Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data<\/a><\/h2>\n
<\/p>\n\n
$\"$ <\/a><\/p>\n\n
This research outlines the process of building a sample frame of US SMEs. The method starts with a list of patenting organizations and defines the boundaries of the population and subsequent frame using free to low-cost data sources, including search engines and websites. Generating high-quality data is of key importance throughout the process of building the frame and subsequent data collection; at the same time, there is too much data to curate by hand. Consequently, we turn to machine learning and other computational methods to apply a number of data matching, filtering, and cleaning routines. The results show that it is possible to generate a sample frame of innovative SMEs with reasonable accuracy for use in subsequent research: Our method provides data for 79% of the frame. We discuss implications for future work for researchers and NSIs alike and contend that the challenges associated with big data collections require not only new skillsets but also a new mode of collaboration.<\/p>\n\n
Register for this webinar<\/a><\/p>","editable":false,"start":"2021-09-02","allDay":true,"end":"2021-09-03","backgroundColor":"#ffffff"},{"title":"Building Back Better - Natural Capital Accounting for a Green Recovery","id":"63-0","eid":"1084","url":"\/events\/node-1084","des":"
Building Back Better - Natural Capital Accounting for a Green Recovery<\/a><\/h2>\n
Virtual<\/p>\n\n
\n
\n
This webinar, co-hosted by the United Nations Department of Economic and Social Affairs<\/a> and the Bennett Institute for Public Policy at the University of Cambridge<\/a>, brings together world-leading experts to discuss how natural capital accounting can help in the fight against climate change, biodiversity loss, and air pollution (responsible for over seven million deaths a year).<\/p>\n\n
Panelists will discuss the economic rationale for placing nature at the heart of the recovery from COVID-19, highlighting a global UN-led effort to develop new statistics that reveal, rather than conceal, the impacts and dependencies of economies on nature. The resulting System of Environmental Economic Accounts - Ecosystem Accounting is expected to be adopted by the United Nations Statistical Commission in 2021, providing high-quality, rigorous data on biodiversity, ecosystems and the environment-economy nexus.<\/p>\n\n
Confirmed speakers include:<\/p>\n\n
Monica Contestabile<\/a>, Editor in Chief, Nature Sustainability, as moderator of the event.<\/p>\n\n
Professor Diane Coyle<\/a>, Bennett Professor of Public Policy and Co-Director, Bennett Institute for Public Policy, University of Cambridge<\/p>\n\n
Professor Sir Partha Dasgupta<\/a>, Frank Ramsey Professor Emeritus of Economics, University of Cambridge<\/p>\n\n
Elliott Harris<\/a>, United Nations Chief Economist and Assistant Secretary-General, United Nations Department of Economics and Social Affairs<\/p>\n\n
Bert Kroese<\/a>, Deputy Director General, Statistics Netherlands and Chair of the United Nations Committee of Experts on Environmental-Economic Accounting<\/p>\n\n
The event will be opened by Stefan Schweinfest<\/a>, Director of the United Nations Statistics Division.<\/p>\n\n
Attendees will gain a \u2018first look\u2019 into a series of landmark reports being launched for the webinar, and in the weeks to follow. These include:<\/p>\n\n
1. How Natural Capital Accounting Contributes to Integrated Policies for Sustainability<\/a> and associated reports<\/a> (United Nations, 2020); and<\/p>\n\n
2. Building Forward: Investments in a Resilient Recovery<\/a> (Agarwala, et al 2020).<\/p>\n\n
3. The Dasgupta Review on the Economics of Biodiversity<\/a> (HM Treasury, 2020).<\/p>\n\n
Time:<\/p>\n\n
CET: 15:30 - 16:30
\nAET: 01:30 - 02:30
\nNY - EST: 09:30 - 10:30
\nJohannesburg - SAST: 16:30 - 17:30<\/p>\n\n
Please register here<\/a>\n\n<\/p>
Kind regards,<\/p>\n\n
UNSD<\/p>\n\n<\/div>\n\n
$\"Building$ <\/div>\n\n<\/div>","editable":false,"start":"2020-12-15","allDay":true,"end":"2020-12-16","backgroundColor":"#ffffff"},{"title":"Building technical editing and science communication skills for 21st Century","id":"64-0","eid":"1085","url":"\/events\/node-1085","des":"
Building technical editing and science communication skills for 21st Century<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>","editable":false,"start":"2021-05-20","allDay":true,"end":"2021-05-22","backgroundColor":"#ffffff"},{"title":"CFE 2020 virtual conference","id":"65-0","eid":"1086","url":"\/events\/node-1086","des":"
CFE 2020 virtual conference<\/a><\/h2>\n
Virtual<\/p>\n\n
The COVID-19 pandemic does not allow to safely hold large in-person events currently. Thus, the 14th International Conference on Computational and Financial Econometrics (CFE 2020) will take place virtually, 19-21 December 2020. Tutorials will also be given virtually on Friday 18th of December 2020.<\/p>\n\n
This conference is organized by the CFEnetwork, King’s Business School, and King’s Department of Mathematics. The journal Econometrics and Statistics (EcoSta<\/a>) and the Annals of Computational and Financial Econometrics<\/a> are the main sponsors of the conference. For further information please visit the CFEnetwork website.<\/p>\n\n
The Conference will take place jointly with the 13th International Conference of the ERCIM WG on\u00a0 Computational and Methodological Statistics (Virtual CMStatistics 2020)<\/a>. The conference has a high reputation of quality presentations. The last edition of the joint conference CFE-CMStatistics gathered over 1900 participants.<\/p>","editable":false,"start":"2020-12-18","allDay":true,"end":"2020-12-22","backgroundColor":"#ffffff"},{"title":"CFE 2021 & CMStatistics 2021","id":"66-0","eid":"1087","url":"\/events\/node-1087","des":"
CFE 2021 & CMStatistics 2021<\/a><\/h2>\n
Hybrid \/ King's College London<\/p>\n\n
15th International Conference on\u00a0Computational and Financial Econometrics\u00a0(CFE 2021<\/a>)\u00a0\u00a0&<\/h2>\n
14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021<\/a>)\u00a0<\/h2>\n
Due to the COVID-19 pandemic, the conference will be hybrid: session organizers will choose either the in-person, the hybrid or the virtual option. Speakers in contributed sessions will also be able to choose either the in-person or the virtual option. Session organizers and contributed speakers will be able to change their contribution mode until the 15th of October 2021 (subject to availability for the hybrid model, which depends on the local resources). The keynote talks, the special invited sessions (even if they are in-person), the hybrid organized sessions, and the virtual sessions will be live-streamed for all the conference participants.<\/p>\n\n
The abstract submission is open at<\/p>\n\n
\n
CFE<\/a><\/li>\n\n
CMStatistics<\/a><\/li>\n\n<\/ul>\n\n
Important dates:<\/strong><\/p>\n\n
\n
Early bird registration: 1 September 2021<\/strong><\/li>\n\n
Abstract submission (invited): 6 September 2021<\/strong><\/li>\n\n
Abstract submission (contributed): 17 September 2021<\/strong><\/li>\n\n
Presenting authors registration: 27 September 2021<\/strong><\/li>\n\n
Tutorials: 17 December 2021<\/strong><\/li>\n\n
Conference: 18-20 December 2021<\/strong><\/li>\n\n<\/ul>\n\n
\u00a0<\/p>","editable":false,"start":"2021-12-18","allDay":true,"end":"2021-12-21","backgroundColor":"#ffffff"},{"title":"CMStatistics 2020 (ERCIM 2020) virtual conference","id":"67-0","eid":"1088","url":"\/events\/node-1088","des":"
CMStatistics 2020 (ERCIM 2020) virtual conference<\/a><\/h2>\n
Virtual<\/p>\n\n
The COVID-19 pandemic does not allow to safely hold large in-person events currently. Thus, the\u00a013th International Conference of the ERCIM WG on Computational and Methodological Statistics<\/b>\u00a0(CMStatistics 2020) will take place virtually, 19-21 December 2020.\u00a0Tutorials<\/a>\u00a0will also be given virtually on Friday 18th of December 2020.<\/p>\n\n
This conference is organized by the ERCIM Working Group on Computational and Methodological Statistics (CMStatistics), King’s Business School, and King’s Department of Mathematics. The journal\u00a0 Econometrics and Statistics (EcoSta)<\/a>\u00a0and its supplement, the\u00a0 Annals of Computational and Financial Econometrics<\/a>\u00a0are the main sponsors of the conference. The journals Econometrics and Statistics and Computational Statistics & Data Analysis will publish selected papers in special peer-reviewed, or regular issues.<\/p>\n\n
Click on the following link if you wish to\u00a0 become a member<\/a>\u00a0of CMStatistics. For further information please visit the\u00a0 CMStatistics website<\/a>.<\/p>\n\n
The Conference will take place jointly with the 14th International Conference on\u00a0 Computational and Financial Econometrics (virtual CFE 2020)<\/a>. The conference has a high reputation of quality presentations. The last edition of the joint conference CFE-CMStatistics gathered over 1900 participants.<\/p>\n\n
Register here<\/a><\/p>\n\n
\u00a0Keynote Speakers:
\no Michele Guindani, University of California, Irvine, United States.
\no Enno Mammen, University of Heidelberg, Germany.
\no Timo Terasvirta, Aarhus University, Denmark.
\no David Hendry, Oxford, United Kingdom.
\no Valentina Corradi, University of Surrey, United Kingdom.
\n
\nCo-Chairs: Anurag Banerjee, Scott Brave, Peter Pedroni and Mike So.
\n
\nTutorials will be given by Prof. Sir David Hendry and Dr Jennifer
\nL. Castle, University of Oxford, UK, and Prof. Michele Guindani,
\nUniversity of California, Irvine, USA.<\/p>","editable":false,"start":"2020-12-18","allDay":true,"end":"2020-12-22","backgroundColor":"#ffffff"},{"title":"Communicating health data: the COVID-19 experience","id":"68-0","eid":"1089","url":"\/events\/node-1089","des":"
Communicating health data: the COVID-19 experience<\/a><\/h2>\n
Virtual<\/p>\n\n
24 June + 1 July<\/strong><\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-24","allDay":true,"end":"2021-06-25","backgroundColor":"#ffffff"},{"title":"Computational and Applied Statistics (CAS 2021) Workshop at ICCSA","id":"69-0","eid":"1090","url":"\/events\/node-1090","des":"
Computational and Applied Statistics (CAS 2021) Workshop at ICCSA<\/a><\/h2>\n
Cagliari, Italy<\/p>\n\n
$\"21st$ <\/p>\n\n
Computational and Applied Statistics (CAS 2021) is a Workshop of the 21st International Conference on Computational Science and Applications (ICCSA 2021<\/a>).<\/p>\n\n
The aim of the CAS workshop is to bring together scientists working in computational statistics, scientific computation, and applications in all areas of sciences, engineering, industry, economics, life sciences, and social sciences.<\/p>\n\n
Topics of interest include (but are not limited to):<\/p>\n\n
\n
Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc.<\/li>\n\n
Applications: statistical case study in all areas of sciences, engineering, and industry, including economics, medicine, biology, earth sciences, and social sciences.<\/li>\n\n<\/ul>\n\n
In 2021 is the 8th edition of this event.<\/p>","editable":false,"start":"2021-09-13","allDay":true,"end":"2021-09-17","backgroundColor":"#ffffff"},{"title":"Conference and Special Issue of Journal of the Royal Statistical Society Series A in memory of Fred Smith and Chris Skinner","id":"70-0","eid":"1091","url":"\/events\/node-1091","des":"
Conference and Special Issue of Journal of the Royal Statistical Society Series A in memory of Fred Smith and Chris Skinner<\/a><\/h2>\n
Southampton, UK<\/p>\n\n
The conference will take place in Southampton from 8 to 10 July 2021 (we will keep under review whether part or all will need to move online). It is an official satellite meeting of the World Statistics Congress (WSC) in The Hague, and will finish at lunchtime on 10 July to allow a respite before the WSC, which has already been made on-line. More details of the conference organisation will follow on a website in due course.<\/p>\n\n
All accepted presenters must register for and pay to attend the conference, and are responsible for their own related expenses. In addition, if the accepted presenter invites additional speakers to present with them at the conference, they must also register for and pay to attend the conference. Travel and accommodation costs will not be covered.<\/p>\n\n
See the August 2020 IASS Newsletter<\/a> for full details.<\/p>","editable":false,"start":"2021-07-08","allDay":true,"end":"2021-07-11","backgroundColor":"#ffffff"},{"title":"Conference on Applied Statistics in Agriculture and Natural Resources","id":"71-0","eid":"1092","url":"\/events\/node-1092","des":"
Conference on Applied Statistics in Agriculture and Natural Resources<\/a><\/h2>\n
Gainesville, FL, USA<\/p>\n\n
The Conference on Applied Statistics in Agriculture and Natural Resources brings together statisticians from academia, industry and government to discuss ideas and advancements in the application of statistics to solving agricultural research problems. This is a three-day conference consisting of a workshop, keynote speaker and a series of contributed papers and poster presentations.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-04-25","allDay":true,"end":"2021-04-28","backgroundColor":"#ffffff"},{"title":"CSM Randomised Controlled Trials Course","id":"72-0","eid":"1093","url":"\/events\/node-1093","des":"
CSM Randomised Controlled Trials Course<\/a><\/h2>\n
Merton College, University of Oxford, UK<\/p>\n\n
$\"$ Now in its 18th year, the Centre for Statistics in Medicine (CSM)\u2019s Randomised Controlled Trials (RCT) Course is ideal for anyone planning or actively involved in RCTs for healthcare evaluation, particularly those early in their career or looking for a refresher course. This 5-day course uses a problem-based learning approach to provide a thorough grounding in the principles and practice of planning, conducting, analysing, reporting, and interpreting RCTs, mixing lectures and small-group practical work. The interdisciplinary faculty includes registered CTU directors, clinicians, and statisticians, all with a wealth of RCT experience. Faculty includes CSM staff (e.g., Associate Prof Jonathan Cook and Dr Ines Rombach), wider University of Oxford staff (e.g., Prof David Beard and Prof Ed Juszczak), and those from further afield (e.g., Prof Mike Clarke of Queen\u2019s University Belfast, Prof Richard Emsley of King\u2019s College London, and Prof Graeme MacLennan of University of Aberdeen).<\/p>\n\n
This year, in memory of course founder Prof Doug Altman, one sponsored place is available for a student or applicant from an LMIC (applications due 31 March). Sponsorship covers the course fee and accommodation at Merton College. Registration closes on 1 August 2020 or when the course is full, whichever is sooner.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-09-21","allDay":true,"end":"2020-09-26","backgroundColor":"#ffffff"},{"title":"Cure Models: Methods, Applications, and Implementation","id":"73-0","eid":"1094","url":"\/events\/node-1094","des":"
Cure Models: Methods, Applications, and Implementation<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-29","allDay":true,"end":"2021-07-01","backgroundColor":"#ffffff"},{"title":"Data Science and Predictive Analytics (DSPA)","id":"74-0","eid":"1095","url":"\/events\/node-1095","des":"
Data Science and Predictive Analytics (DSPA)<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-16","allDay":true,"end":"2021-06-17","backgroundColor":"#ffffff"},{"title":"Data Science in Industry","id":"75-0","eid":"1096","url":"\/events\/node-1096","des":"
Data Science in Industry<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"ISBIS\"$ <\/p>\n\n
The webinar will start at 3:00 pm and end at 5:00 pm (GMT-05:00) Eastern Time (U.S. & Canada).<\/p>\n\n
Rationale: Around the World, data storing is dramatically increasing day by day, and companies need to manage the data they gather to extract information useful to make decisions. Consequently, Data Scientist positions are spreading out in many companies. But what does a Data Scientist actually do in a company? How they actually manage and elaborate data? What kind of problems do they solve using statistics? In this webinar three Data Scientists will explain their jobs at Pinterest, Amazon, and T-Mobile. The session is free of charge and we warmly invite PhD students and young statisticians to attend.<\/p>\n\n
Panelists<\/strong>:<\/p>\n\n
\n
Maxine Qian<\/a><\/li>\n\n
Jennifer Zhu<\/a><\/li>\n\n
Melanie Palmer<\/a><\/li>\n\n<\/ul>\n\n
Maxine Qian \u2013 Data Scientist (Experimentation) at Pinterest<\/h2>\n
\n
MSDS Alum, 2017 – Data Science intern at Williams Sonoma<\/li>\n\n
Master\u2019s degree in Business and Economics from Queen\u2019s University<\/li>\n\n
Bachelor\u2019s degree in Economics from Wuhan University<\/li>\n\n<\/ul>\n\n
Title: \u201c3 ways to improve offline experiment sensitivity\u201d<\/h3>\n
Abstract<\/strong>: At Pinterest, we use offline experiments to measure the impact on metrics labeled by human evaluation. These metrics, such as search relevance and content quality, offer a direct human perspective and valuable business insights that are otherwise difficult to extract from online metrics. This webinar talks about how we use statistical methods to make offline experiments more efficient, achieving higher sensitivity and lower cost.<\/p>\n\n
Jennifer Zhu \u2013 Deep Learning Scientist at Amazon<\/h2>\n
\n
Previously, Staff Data Scientist at GE Digital<\/li>\n\n
USF MSDS Alum, 2017 – Data Science intern at Vungle<\/li>\n\n
PhD in Biomedical Sciences from Cornell University<\/li>\n\n
Bachelor\u2019s degree in Biology from Peking University<\/li>\n\n<\/ul>\n\n
Title: \u201cUsing artificial intelligence (AI) to automate clinical workflows\u201d<\/h3>\n
Abstract<\/strong>: Most clinical data is unstructured data, including audio recordings, laboratory reports (PDF), insurance claims (forms), documents (image files). Using the data is time- and energy-intensive. How can we automatically extract this data, so that it may be stored in a database, or connected to an interface for use by downstream applications? In this talk, I will present the Document Understanding Solution (DUS) that allows you to use the power of AWS AI for search, document digitization, discovery, and extraction and redaction of select information.<\/p>\n\n
Melanie Palmer \u2013 Senior Data Scientist at T-Mobile<\/h2>\n\n
Previously, Senior Data Scientist at NBC Universal Media<\/li>\n\n
USF MSDS Alum, 2017 – Data Science intern at SF 49ers<\/li>\n\n
Bachelor\u2019s degree in Mathematics and Economics from Gonzaga University<\/li>\n\n<\/ul>\n\n
Title: \u201cReshaping Refunds with Data Science: How Text Analytics Uncovers Pain Points to Improve Customer Experience\u201d<\/h3>\n
Abstract<\/strong>: Customer satisfaction is essential to success in the telecommunications industry. Refund requests drive many calls to customer service and bring attention to subpar customer experiences. A text analytics model was built to \u201clisten\u201d to these calls and identify common pain points that lead to refund requests. Confusion making payments on the web and mobile app was a common theme, leading to accidental and overpayments. Several new UI designs were generated that kickstarted a series of AB tests evaluating a variety of payment flows and payment options. Additionally, loopholes in policy were discovered that allowed customers to game the system and receive undue refunds. The tests, in conjunction with the text analysis, highlighted a clear path forward to change policy, reduce refunds, and improve customer experience.<\/p>\n\n
Organizers<\/strong>:<\/p>\n\n
\n
Luca Frigau<\/a><\/li>\n\n
Rahim Mahmoudvand<\/a><\/li>\n\n
Nathaniel Stevens<\/a><\/li>\n\n
Adi Rakhmawan Suryo<\/a><\/li>\n\n
Ahmad Risal<\/a><\/li>\n\n<\/ul>\n\n
Register here<\/a><\/p>","editable":false,"start":"2021-01-28","allDay":true,"end":"2021-01-29","backgroundColor":"#ffffff"},{"title":"Data Science in Tourism","id":"76-0","eid":"1097","url":"\/events\/node-1097","des":"
Data Science in Tourism<\/a><\/h2>\n
Virtual<\/p>\n\n
Time<\/strong>:\u00a02:00 PM WIB (Western Indonesian Time Zone)<\/p>\n\n
Around the World data storing is dramatically increasing day by day,\u00a0and both companies and authorities need to manage the data they gather\u00a0to extract information useful to make decisions. Consequently, the\u00a0Data Scientist position is spreading out in many companies and\u00a0authorities,including in the tourism sector. But what does a Data Scientist\u00a0actually do using mobile positioning data for the tourism industry?\u00a0Can we use big data in social media to capture people’s attitudes and\u00a0conversations about tourism? How do they actually manage and elaborate\u00a0data? Which kind of problems do they solve using statistics? In this\u00a0webinar, two Data Scientists will explain their experience using\u00a0mobile positioning data for the tourism industry and understanding the\u00a0customer through social media.<\/p>\n\n
Speakers<\/strong>:<\/p>\n\n
\n
Ilmar Uduste<\/strong><\/li>\n\n
Ismail Fahmi<\/strong><\/li>\n\n<\/ul>\n\n
\u00a0<\/p>\n\n
Register<\/a><\/p>","editable":false,"start":"2021-02-11","allDay":true,"end":"2021-02-12","backgroundColor":"#ffffff"},{"title":"Design and Analysis of Experiments (DAE) 2021","id":"77-0","eid":"1098","url":"\/events\/node-1098","des":"
Design and Analysis of Experiments (DAE) 2021<\/a><\/h2>\n
Virtual<\/p>\n\n
DAE 2021<\/strong> is the 11th event in the DAE conference series. It will focus on emerging areas of research in experimental design, as well as novel innovations in traditional areas. A salient feature of the DAE series is pairing of senior and junior researchers for mentoring purposes and DAE 2021 will follow this tradition in a virtual mode.<\/p>\n\n
There will be one 1.5 hour invited session every Tuesday (11AM Eastern) and Wednesday (12PM Eastern) each week in October.
\nThe specific session dates are October 5th, 6th, 12th, 13th, 19th, 20th, 26th and 27th.<\/p>\n\n
Website<\/a><\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-10-05","allDay":true,"end":"2021-10-28","backgroundColor":"#ffffff"},{"title":"DSSV 2022","id":"78-0","eid":"1099","url":"\/events\/node-1099","des":"
DSSV 2022<\/a><\/h2>\n
National Cheng Kung University Tainan, Taiwan<\/p>\n\n
Data Science, Statistics & Visualisation (2022) is a mixed conference aimed at bringing together researchers and practitioners interested in the interplay of statistics, computer science, and visualization, and to build bridges between these fields for interdisciplinary research. This conference shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes.<\/p>\n\n
Visit the website<\/a> for more information.<\/p>\n","editable":false,"start":"2022-06-27","allDay":true,"end":"2022-06-30","backgroundColor":"#ffffff"},{"title":"ESRI: Official Statistics and Census","id":"79-0","eid":"1100","url":"\/events\/node-1100","des":"
ESRI: Official Statistics and Census<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"ESRI\"$ <\/p>\n\n
GIS for Official Statistics and Census<\/h2>\n
29 June and 20 July 2021<\/p>\n\n
Join us for two exclusive webinars on how to utilize the power of GIS in your official statistics and census.<\/p>\n\n
\n
Webinar 1:\u00a0GIS, Spatial Analysis and Statistics<\/h2>\n
Webinar 1 will cover GIS, spatial analysis, and statistics. Location is the connective thread allowing us to uncover hidden patterns, discover trends in our data, or improve predictive modeling. GIS is being used today by statisticians to visualize and explore data and conduct spatial analysis. It’s also being used in the area of big data analytics and data science.<\/p>\n\n
In this webinar, we will explore how you can use GIS to easily integrate location and spatial analysis in your workflows. Join us to learn about the following:<\/p>\n\n
\n
Bringing location data into your analysis<\/li>\n\n
Answering spatial questions<\/li>\n\n
Creating sophisticated statistical and machine learning models<\/li>\n\n
Modeling and scripting\u2014automating and extending functionality<\/li>\n\n<\/ul>\n\n
Date<\/strong>: June 29, 2021
\nTime:<\/strong> 7:00 a.m.\u20138:00 a.m. (PDT)
\nLocation<\/strong>: Online Webinar
\nCost<\/strong>: Free
\nLanguage<\/strong>: English<\/p>\n\n
\n
Webinar 2:\u00a0The Importance of GIS in Dissemination of Statistical Data and National Portals<\/h2>\n
Webinar 2 will cover the importance of GIS in dissemination of statistical data and national portals. Given the broad range of data types and users today, it is critical that national statistical offices and statisticians consider how to best disseminate data.<\/p>\n\n
Register for this webinar<\/a><\/p>\n\n
Date<\/strong>: July 20, 2021
\nTime<\/strong>: 700 a.m.\u20138:00 a.m. (PDT)
\nLocation<\/strong>: Online Webinar
\nCost<\/strong>: Free
\nLanguage<\/strong>: English<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-07-20","allDay":true,"end":"2021-07-21","backgroundColor":"#ffffff"},{"title":"European Conference on Quality in Official Statistics (Q2022)","id":"80-0","eid":"1101","url":"\/events\/node-1101","des":"
European Conference on Quality in Official Statistics (Q2022)<\/a><\/h2>\n
Vilnius, Lithuania<\/p>\n\n
$\"$ <\/a><\/p>\n\n
The European Conference on Quality in Official Statistics is a bienniel conference series dedicated to enforcing the dissemination of knowledge, recent research, and good practices on emerging new challenges related to quality in official statistics.<\/p>\n\n
Statistics Lithuania, in partnership with Eurostat, is organising the 10th European Conference on Quality in Official Statistics (Q2022) in Vilnius from 8\u201310 June 2022, with a one-day training course preceding the event on 7 June 2022.<\/p>\n\n
More information<\/strong>
\nMore information, including the call for papers as well as instructions on how to register to the event, are available on the event website<\/a>.<\/p>","editable":false,"start":"2022-06-08","allDay":true,"end":"2022-06-11","backgroundColor":"#ffffff"},{"title":"European Establishment Statistics Workshop 2021 (EESW21)","id":"81-0","eid":"1102","url":"\/events\/node-1102","des":"
European Establishment Statistics Workshop 2021 (EESW21)<\/a><\/h2>\n
CBS (Statistics Netherlands), The Hague, The Netherlands<\/p>\n\n
$\"EESW21\"$ <\/aside>\n
A short description of the event: EESW21, the seventh biennial European Establishment Statistics Workshop, will be held in the Hague, the Netherlands, on 14-17 September 2021. It will be hosted by Statistics Netherlands. The first day is devoted to short courses, followed by the traditional two-and-a-half day workshop.<\/p>\n\n
\n
More information: website<\/a><\/span><\/div>","editable":false,"start":"2021-09-14","allDay":true,"end":"2021-09-18","backgroundColor":"#ffffff"},{"title":"Event on the Value of Data","id":"82-0","eid":"1103","url":"\/events\/node-1103","des":"
Event on the Value of Data<\/a><\/h2>\n
Bu-Ali University, Hamedan, Iran<\/p>\n\n
This first event on the value of data, sponsored by y-BIS, intends to provide an opportunity for both data holders and data analyzers to extract the maximum value from their data.<\/p>\n\n
The event will take place on 29 October 2020 at Bu-Ali University, Hamedan, Iran.<\/p>\n\n
The world contains a large amount of data that comes from a variety of sources including commercial transactions, social media, censuses, search engines, the internet and more. Such data can help us to create a better world. Organizations and companies hire statisticians and data scientists to analyze their data and help them to improve their businesses. AGNA, along with Bu-Ali Sina University, and jointly with y-BIS under ISBIS and SDAT intend to organize the first event on the value of data to provide an opportunity for both data holders and data analyzers to extract the maximum value from their data.\u00a0<\/p>\n\n
Aims and outputs:<\/p>\n\n
\n
Perform the best analysis of the data.<\/li>\n\n
Find possible \u201cbugs\u201d in data analysis methods and invent solutions.<\/li>\n\n
Bridge between data holders and data analysts.<\/li>\n\n
Learn different views about a dataset.<\/li>\n\n<\/ul>\n\n
For more information contact the lead organizer: Rahim Mahmoudvand<\/p>","editable":false,"start":"2020-10-29","allDay":true,"end":"2020-10-30","backgroundColor":"#ffffff"},{"title":"Financial Accounts \u2013 Concepts, compilation and use","id":"83-0","eid":"1104","url":"\/events\/node-1104","des":"
Financial Accounts \u2013 Concepts, compilation and use<\/a><\/h2>\n
<\/p>\n\n
Read more information about this short course\u00a0 here<\/a>.<\/p>","editable":false,"start":"2021-05-18","allDay":true,"end":"2021-05-20","backgroundColor":"#ffffff"},{"title":"First Event on Play with Real Data","id":"84-0","eid":"1105","url":"\/events\/node-1105","des":"
First Event on Play with Real Data<\/a><\/h2>\n
Bu-Ali Sina University, Hamedan, Iran<\/p>\n\n
\n
\n
The world contains a large amount of data that come from diverse sources including commercial transactions, social media, censuses, search engines, the internet and more. Such data can help us to create a better world. Organizations and companies hire statisticians and data scientists to analyze their data and help them <\/span>to improve their businesses. <\/span>\n\n<\/p>
AGNA along with Bu-Ali Sina University<\/a>, and jointly with
\n y-BIS<\/a> under ISI<\/a> and SDAT<\/a> (Scientific Data Analysis Team) are organizing the first event on the value of data to provide an opportunity for both data holders and data analyzers to extract maximum value from their data. Financial support for this event is provided by SDAT, International Statistical Institute (ISI)<\/a> (which receives funding from The World Bank Trust Fund for Statistical Capacity Building<\/a>), and by ISBIS.<\/span><\/p>\n\n
Read more<\/a>.<\/p>\n\n<\/div>\n\n
$\"$ <\/a><\/div>\n\n
<\/div>\n\n
<\/div>\n\n<\/div>","editable":false,"start":"2020-12-31","allDay":true,"end":"2021-01-01","backgroundColor":"#ffffff"},{"title":"Florence Nightingale Day","id":"85-0","eid":"1106","url":"\/events\/node-1106","des":"
Florence Nightingale Day<\/a><\/h2>\n
<\/p>\n\n
The Caucus for Women in Statistics (CWS) and the American Statistical Association (ASA) are pleased to host the fourth annual Florence Nightingale Day. This event will be held for middle and high school students (grades 8-12) hosted by Ohio State University. This event is open to all students in the US and internationally.<\/p>\n\n
See more information on the website<\/a>.\u00a0<\/p>","editable":false,"start":"2021-10-23","allDay":true,"end":"2021-10-24","backgroundColor":"#ffffff"},{"title":"Fraud Analytics","id":"86-0","eid":"1107","url":"\/events\/node-1107","des":"
Fraud Analytics<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course\u00a0 here<\/a>.<\/p>","editable":false,"start":"2021-05-17","allDay":true,"end":"2021-05-18","backgroundColor":"#ffffff"},{"title":"Frontier Probability Days (FPD\u201920)","id":"87-0","eid":"1108","url":"\/events\/node-1108","des":"
Frontier Probability Days (FPD\u201920)<\/a><\/h2>\n
<\/p>\n\n
The Frontier Probability Days is a regional workshop, now postponed to 2021 at the University of Nevada. Its\u00a0purpose is to bring together mathematicians, both regionally and globally, who have an interest in probability and its applications. FPD aims to complement other regional conferences in Probability that are held annually elsewhere in the United States.<\/span><\/p>","editable":false,"start":"2021-05-16","allDay":true,"end":"2021-05-19","backgroundColor":"#ffffff"},{"title":"Frontier Probability Days (FPD\u201920)","id":"88-0","eid":"1109","url":"\/events\/node-1109","des":"
Frontier Probability Days (FPD\u201920)<\/a><\/h2>\n
Las Vegas, Nevada, USA<\/p>\n\n
The Frontier Probability Days is a regional workshop, now postponed to 2021 at the University of Nevada. Its purpose is to bring together mathematicians, both regionally and globally, who have an interest in probability and its applications. FPD aims to complement other regional conferences in Probability that are held annually elsewhere in the United States. The registration will be open until October 16, 2021.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-12-01","allDay":true,"end":"2022-01-01","backgroundColor":"#ffffff"},{"title":"Frontier Probability Days 2021","id":"89-0","eid":"1110","url":"\/events\/node-1110","des":"
Frontier Probability Days 2021<\/a><\/h2>\n
Las Vegas, Nevada<\/p>\n\n
Frontier Probability Days 2021<\/a> is a regional workshop, taking place at the University of Nevada, Las Vegas, Nevada. Its purpose is to bring together mathematicians, both regionally and globally, who have an interest in probability and its applications. FPD aims to complement other regional conferences in Probability that are held annually elsewhere in the US.<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-12-03","allDay":true,"end":"2021-12-06","backgroundColor":"#ffffff"},{"title":"Future of Information and Communication Conference (FICC) 2022","id":"90-0","eid":"1111","url":"\/events\/node-1111","des":"
Future of Information and Communication Conference (FICC) 2022<\/a><\/h2>\n
San Francisco, United States<\/p>\n\n
3-4 March 2022 | San Francisco, United States
\n Conference website<\/a><\/p>\n\n
Information and Communication is playing an increasing role in society and within our lives. Recognizing this, FICC 2022 aims to provide a forum for researchers from both academia and industry to share their latest research contributions, future vision in the field and potential impact across industries.<\/p>\n\n
FICC 2022 is soliciting high quality papers addressing research challenges in the tracks of Communications, Networking, Data Science, Computing, Ambient Intelligence, Security and Privacy.\u00a0<\/p>\n\n
Each paper will be reviewed by at least three regular PC members or two senior PC members. The decisions will take into account paper novelty, technical depth, elegance, practical or theoretical impact, and presentation.
\n
\nImportant Dates (<\/strong>Early Submission)<\/strong><\/p>\n\n
Paper Submission Due : 15 June 2021
\nAcceptance Notification : 01 August 2021
\nCamera Ready Submission : 01 September 2021
\nConference Dates : 3-4 March 2022<\/p>\n\n
Important Dates (Regular Submission)<\/strong><\/p>\n\n
Paper Submission Due : 15 July 2021
\nAcceptance Notification : 01 September 2021
\nCamera Ready Submission : 01 October 2021
\nConference Dates : 3-4 March 2022<\/p>\n\n
Submission Format, Guidelines and Committee information is available online on the conference website<\/a>.<\/p>\n\n
We are of course aware that the situation regarding COVID-19 is a cause for apprehension. We are prepared to offer virtual participation options, for anyone who cannot or chooses not to travel.<\/em><\/p>\n\n
FICC 2022 proceedings will be published in Springer series \u201cLecture Notes in Networks and Systems\u201d and submitted for consideration to Scopus, Web of Science, DBLP, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.<\/p>\n\n
Looking forward to your submissions.<\/p>","editable":false,"start":"2022-03-03","allDay":true,"end":"2022-03-05","backgroundColor":"#ffffff"},{"title":"IAOS conference 2022","id":"91-0","eid":"1112","url":"\/events\/node-1112","des":"
IAOS conference 2022<\/a><\/h2>\n
Krakow, Poland<\/p>\n\n
Focusing on \u201cWorthy Information for Challenging Times\u201d, it will be organized by IAOS together with\u00a0Statistics Poland in Krakow, Poland on April 26-28, 2022. As usually, conference sessions will revolve\u00a0around the following seven strands, description of which can be found on the conference website:<\/p>\n\n
\n
Integrating Available Data Sources for Official Statistics: Challenges and Opportunities;<\/li>\n\n
Backbone of Official Statistics: Critical Sources, Infrastructure, Resources;<\/li>\n\n
Official Statistics Addressing Global Objectives (SDGs, Climate Change, etc.);<\/li>\n\n
Official Statistics and Covid-19: key takeaways;<\/li>\n\n
Abundance of Data for Official Statistics\u2019 Uses: Meeting the Ethical Challenges;<\/li>\n\n
Statistics in a Time of Distrust and Misuse: The Communication Challenge, and<\/li>\n\n
Official Statistics Contribution for a Global Data Governance.<\/li>\n\n<\/ul>\n\n
With this letter we would like to reiterate our warm invitation to you and members of your\u00a0organizations to participate in the conference, which is going to be a fully-fledged in-person event.<\/p>\n\n
For further details about the 18th IAOS conference please visit the conference website at www.iaos2022.pl<\/a>\u00a0where soon conference fees and more organizational details will be published.<\/p>","editable":false,"start":"2022-04-26","allDay":true,"end":"2022-04-29","backgroundColor":"#ffffff"},{"title":"IASC Webinar \u201cCapacity Building for Statistician on Modeling Financial and Agricultural Data Using R\u201d","id":"92-0","eid":"1114","url":"\/events\/node-1114","des":"
IASC Webinar \u201cCapacity Building for Statistician on Modeling Financial and Agricultural Data Using R\u201d<\/a><\/h2>\n
Virtual<\/p>\n\n
To alleviate the problem of lack of proficiency in R for statistical computing purpose, capacity building on statistical computing using R for Statistician in Nigeria with support from the International Association of Statistical computing (IASC) would go a long way in bringing that to reality.<\/p>\n\n
Topics<\/h2>\n
\n
Overview and Benefits of IASC to developing country such as Nigeria.<\/li>\n\n
Financial Time Series using rugarch and Arch Test source code in R.<\/li>\n\n
Analysis of Experiments with R.<\/li>\n\n<\/ol>\n\n
Register for the webinars<\/h2>\n
\n
Day 1, 16 September: Benefits of joining IASC and Introduction to R for time series analysis<\/a>.<\/li>\n\n
Day 2, 17 September: Training on R for elementary financial time series<\/a>.<\/li>\n\n
Day 3, 18 September: Benefit of becoming member of young statistician-IASC and Introduction to ANOVA in R<\/a>.<\/li>\n\n
Day 4, 19 September: Intermediate ANOVA with R<\/a>.<\/li>\n\n<\/ul>\n\n
\u00a0<\/p>","editable":false,"start":"2020-09-16","allDay":true,"end":"2020-09-20","backgroundColor":"#ffffff"},{"title":"IASC Webinar: Environmental Statistics and Statistical Computing","id":"93-0","eid":"1115","url":"\/events\/node-1115","des":"
IASC Webinar: Environmental Statistics and Statistical Computing<\/a><\/h2>\n
Virtual<\/p>\n\n
Speaker:\u00a0Dr. Oludare Ariyo<\/strong><\/p>\n\n
Environmental applications are what make statistics \u201cenvironmental.\u201d Statistical application to environmental issues such as weather, air, water quality, climate, soil, fisheries and other environmental activities often come with some challenges since most environmental applications do not fit into experimental settings and even results from controlled experiments are used to infer patterns in an uncontrolled, dynamic, and noisy setting. This presentation will expose the participants to computational tools\/ skills needed to navigate through as an \u201cEnvironmental Statistician\u201d, and inform them on where their expertise will be needed in Nigeria and beyond.<\/p>\n\n
Register for free<\/a><\/p>","editable":false,"start":"2021-12-17","allDay":true,"end":"2021-12-18","backgroundColor":"#ffffff"},{"title":"IASC-ISI Webinar series","id":"94-0","eid":"1116","url":"\/events\/node-1116","des":"
IASC-ISI Webinar series<\/a><\/h2>\n
Virtual<\/p>\n\n
Capacity Building for Statisticians on Modeling Financial and Agricultural Data Using R<\/strong><\/h4>\n
The aim of the IASC webinar series is building capacity in statistical computing using R for statisticians in Nigeria. Organized and supported by the International Association for Statistical Computing (IASC), it is meant to alleviate the problem of the lack of proficiency in R for statistical computing purposes in Nigeria.<\/p>\n\n
The webinar series will focus on the following topics:<\/p>\n\n
\n
Overview and benefits of IASC for a developing country like Nigeria.<\/li>\n\n
Financial Time Series using rugarch and Arch Test source code in R.<\/li>\n\n
Analysis of experiments with R.<\/li>\n\n<\/ul>\n\n
Registration for the webinars can be done using the links below:<\/strong><\/p>\n\n
\n
Day 1,\u00a028 September:\u00a0 Benefits of joining IASC and Introduction to R for time series analysis<\/a><\/li>\n\n
Day 2, 29 September:\u00a0 Training on R for elementary financial time series<\/a><\/li>\n\n
Day 3,\u00a01\u00a0October:\u00a0 Benefits of becoming member of young statisticians-IASC and Introduction to ANOVA in R<\/a><\/li>\n\n
Day 4, 2 October:\u00a0 Intermediate ANOVA with R<\/a><\/li>\n\n<\/ul>","editable":false,"start":"2020-09-28","allDay":true,"end":"2020-10-03","backgroundColor":"#ffffff"},{"title":"IASC-LARS WEBINAR ON COMPUTATIONAL STATISTICS AND DATA SCIENCE","id":"95-0","eid":"1117","url":"\/events\/node-1117","des":"
IASC-LARS WEBINAR ON COMPUTATIONAL STATISTICS AND DATA SCIENCE<\/a><\/h2>\n
<\/p>\n\n
MACHINE LEARNING FOR DATA SCIENCE<\/h2>\n
\n
RODRIGO SALAS, MARVIN QUERALES, AYLEEN BERTINI
\nUNIVERSIDAD DE VALPARA\u00cdSO, CHILE<\/li>\n\n
JAVIER LINKOLK L\u00d3PEZ
\nUNIVERSIDAD PERUANA UNI\u00d3N, PER\u00da<\/li>\n\n<\/ul>\n\n
INTERNATIONAL ORGANIZING COMMITTEE:<\/p>\n\n
ALBA MART\u00cdNEZ-RUIZ, MONDAY ADENOMON, PAULO CANAS RODRIGUES
\nHAN-MING (HANK) WU, SARA TASKINEN, CRISTIAN GATU
\nLUIS FIRINGUETTI-LIMONE, DAVID MU\u00d1OZ-NEGRON<\/p>\n\n
PROGRAM<\/h3>\n
The Latin American Regional Section of the International Association for Statistical\u00a0Computing (IASC-LARS), the IASC-LARS School on Computational Statistics and Data\u00a0Science, the International Association for Statistical Computing (IASC), and the\u00a0International Statistical Institute (ISI) are pleased to invite postgraduate and undergraduate\u00a0students to attend the IASC-LARS Webinar Course \u201cMachine Learning for Data Science\u201d.\u00a0The course will be taught by Professor Rodrigo Salas and Collaborators Marvin Querales and
\nAyleen Bertini from the Universidad de Valpara\u00edso, Chile, and Javier Linkolk L\u00f3pez from\u00a0the Universidad Peruana Uni\u00f3n, Per\u00fa, September 27-30, 2021. The course will be given in\u00a0an English\/Spanish hybrid format.<\/p>\n\n
The IASC-LARS Courses aim (1) to spread the knowledge base and advances in Statistical\u00a0Computing in Latin America and the world, (2) to provide an overview of the state-of-the art of the ongoing research in computational statistics, (3) to provide an overall perspective<\/p>\n\n
of the application of computational statistics in data science problems, (4) to present\u00a0applications where computational statistics have been crucial to solve problems in real-life\u00a0applications, and (5) to increase the number of researchers and practitioners in computational\u00a0statistics and data science.<\/p>\n\n
Machine learning is a research and development field that has seen tremendous growth in\u00a0recent times. On the one hand, many applications have appeared in multiple areas, such as\u00a0engineering and healthcare, to name a few. On the other hand, these models have been widely\u00a0studied in their theoretical aspects to know their properties and limitations.\u00a0Technological and computational development has meant that large volumes of data are\u00a0being collected at every moment. A new discipline known as Data Science has emerged,\u00a0generating new and innovative solutions from data. In this sense, learning machines are one\u00a0of the main tools used by the data scientist.\u00a0<\/p>\n\n
In this webinar, we will study the theoretical foundations of learning machines in conjunction\u00a0with some of the more popular methods. Hands-On type activities will complement the\u00a0teaching using the Python language with its toolboxes. Additionally, machine learning\u00a0models will be applied in problems related to the environment and health.<\/p>\n\n
INSTRUCTORS<\/strong>:<\/p>\n\n
\n
Rodrigo Salas (Universidad de Valpara\u00edso, Chile).<\/li>\n\n
Javier-Linkolk L\u00f3pez (Universidad Peruana Uni\u00f3n, Per\u00fa).<\/li>\n\n
Marvin Querales (Universidad de Valpara\u00edso, Chile).<\/li>\n\n
Ayleen Bertini (Universidad de Valpara\u00edso, Chile).<\/li>\n\n<\/ul>\n\n
AGENDA<\/strong><\/p>\n\n
Monday \u2013 September 27<\/strong>
\nsession 1: 9:00-10:00
\nsession 2: 10:15-12:00<\/p>\n\n
\n
Introduction to Python\n
\n
History of Python<\/li>\n\n
Installing Python: Anaconda, Miniconda, Google Colab.<\/li>\n\n
Programming Language<\/li>\n\n<\/ul>\n\n<\/li>\n\n
Data Analysis with Python\n
\n
Toolbox for Data Science: PANDAS, Scikit-Learn, Scipy, Numpy, Statmodels.<\/li>\n\n
Hands On: \u201cStatistical Data Analysis with Python\u201d<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n
Tuesday \u2013 September 28<\/strong>
\nsession 1: 9:00-10:00
\nsession 2: 10:15-11:15
\nsession 3: 11:30-13:30<\/p>\n\n
\n
Introduction to Data Science<\/li>\n\n
Unsupervised Machine Learning Methods\n
\n
Clustering Analysis<\/li>\n\n
Principal Component Analysis<\/li>\n\n<\/ul>\n\n<\/li>\n\n
Explainable Machine Learning Models\n
\n
Logistic Regression<\/li>\n\n
Decision Trees<\/li>\n\n
Feature Evaluation<\/li>\n\n<\/ul>\n\n<\/li>\n\n
Hands on: \u201cExplainable Machine Learning models for Health data\u201d<\/li>\n\n<\/ul>\n\n
Wednesday \u2013 September 29<\/strong>
\nsession 1: 9:00-10:00
\nsession 2: 10:15-11:15
\nsession 3: 11:30-13:30<\/p>\n\n
\n
Fundamentals of Statistical Learning and Predictive Models.<\/li>\n\n
Supervised Machine Learning Methods\n
\n
Linear Discriminant Analysis<\/li>\n\n
Quadratic Discriminant Analysis<\/li>\n\n
Random Forest, Gradient Boosting, XGBoost<\/li>\n\n
Support Vector Machine<\/li>\n\n<\/ul>\n\n<\/li>\n\n
Evaluation and Validation of Machine Learning Methods: Confusion Matrix, Performance Metrics, ROC Curve, Hold-one-out, Cross-Validation.<\/li>\n\n
Hands on: \u201cTime Series Forecasting of Pollution Data\u201d<\/li>\n\n<\/ul>\n\n
Thursday \u2013 September 30<\/strong>
\nsession 1: 9:00-10:00
\nsession 2: 10:15-11:15
\nsession 3: 11:30-13:30<\/p>\n\n
\n
Artificial Neural Networks and Deep Learning\n
\n
Multilayer Perceptron (MLP)<\/li>\n\n
Recurrent Neural Networks (LSTM)<\/li>\n\n
Convolutional Neural Networks (CNN)<\/li>\n\n<\/ul>\n\n<\/li>\n\n
Neuro-fuzzy Inference Models: ANFIS, SONFIS, SINFIM<\/li>\n\n
Hands on: \u201cDeep Learning and Neuro-Fuzzy Inference framework for modeling Rainfall-Runoff\u201d.<\/li>\n\n<\/ul>\n\n
Books<\/strong><\/p>\n\n
\n
M. J. Zaki, W. Meira Jr. \u201cData Mining and Analysis. Fundamental Concepts and Algorithms\u201d.\u00a0Cambridge University Press. 2014.<\/li>\n\n
C. Aggarwal. \u201cData Mining. The textbook\u201d. Springer. 2015<\/li>\n\n
S. Raschka & V. Mirjalili. \u201cPython Machine Learning: Machine Learning and Deep Learning\u00a0with Python, scikit-learn, and TensorFlow\u201d, 2nd Edition. 2017<\/li>\n\n
S. Masis. \u201cInterpretable Machine Learning with Python\u201d. Packt Publishing. 2021<\/li>\n\n<\/ul>\n\n
Articles<\/strong><\/p>\n\n
\n
A. Encalada-Malca, J. Cochachi-Bustamante, P. Canas Rodrigues, R.Salas, J.L. L\u00f3pez-Gonzales\u00a0(2021). \u201cA Spatio-Temporal Visualization Approach to the Exploration of PM10 Concentration\u00a0Data in Metropolitan Lima\u201d, Atmosphere 2021; 12(5):609, doi: 10.3390\/atmos12050609, MDPI.<\/li>\n\n
Y. Morales, M. Querales, Harvey Rosas, H. Allende-Cid and R. Salas (2021) A Self-Identification Neuro-Fuzzy Inference framework for modeling Rainfall-Runoff in a Chilean watershed. Journal of Hydrology, Volume 594, pages 125910. doi 10.1016\/j.jhydrol.2020.125910.<\/li>\n\n
C. Parra, C. Ponce and R. Salas (2020). Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California. Proceedings of the 2020 39th International Conference of the Chilean Computer Science Society (SCCC), IEEE Press. doi: 10.1109\/SCCC51225.2020.9281196.<\/li>\n\n
A. Bertini, P. Gonz\u00e1lez, A. Holz, MJ. Varela, L. Sobrevia, R. Salas , Pardo (2020). \u201cIdentification of the main perinatal complications associated with pregestational obesity attended on the Aconcagua Health Service between the years 2015 \u2013 2017, Chile\u201d. XXXV Reuni\u00f3n Anual de la Sociedad Chilena de Ciencias Fisiol\u00f3gicas (SCHCF)<\/li>\n\n
H. Allende-Cid, R. Salas, A. Veloz, H. Allende, C. Moraga (2016) SONFIS: Structure Identification and Modeling with a Self-Organizing Neural Network. International Journal of Computational Intelligence Systems, vol 9, issue 4, pages 416-432. Atlantis Press.<\/li>\n\n<\/ul>\n\n
Software<\/strong><\/p>\n\n
\n
Python 3.X using the framework of ANACONDA<\/a> or the
\nframework of\u00a0 MINICONDA<\/a>\n
\n
Jupyter notebook (installed with anaconda or miniconda)\n
\n
Google Colab<\/a><\/li>\n\n
Toolbox:\n
\n
Numpy<\/li>\n\n
Scipy<\/li>\n\n
Matplotlib<\/li>\n\n
Seaborn<\/li>\n\n
Pandas<\/li>\n\n
Scikit-Learn<\/li>\n\n
Statmodels<\/li>\n\n
Tensor-Flow<\/li>\n\n
Keras<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n
INSTRUCTORS<\/strong><\/p>\n\n
Rodrigo Salas Fuentes\u00a0<\/strong>(Member IASC-ISI, and\u00a0Board of Directors\u00a0LARS) received the\u00a0B.S. and MSc. degrees\u00a0in Informatics\u00a0Engineering and the Dr.\u00a0Eng. degree in\u00a0informatics from the\u00a0Federico Santa Mar\u00eda\u00a0Technical University\u00a0(UTFSM) in Chile, in 2001, 2002 and 2010, respectively.\u00a0From 2002 to 2004, he was a research assistant with the\u00a0Informatics Department, UTFSM. Since 2004, has been\u00a0with the Universidad de Valpara\u00edso, where he is currently\u00a0a Full Professor of the Biomedical Engineering School and\u00a0teaches in Data Mining, Probability and Statistics, and\u00a0Machine Learning. Dr. Salas is a main researcher of the\u00a0Center of Research and Development in Health\u00a0Engineering (CINGS-UV). His research interests include\u00a0Artificial Intelligence, Machine Learning, Data Science,\u00a0Decision Support Systems, Intelligent Systems and their\u00a0applications to finance, air pollution, healthcare and\u00a0medicine.<\/p>\n\n
Javier Linkolk L\u00f3pez\u00a0Gonzales<\/strong> (Member IASC-ISI)\u00a0received the B.S. degree in\u00a0Statistical and Informatics\u00a0Engineering from Universidad\u00a0Peruana Uni\u00f3n (UPeU, Per\u00fa)\u00a0and the M.Sc. degree in\u00a0Metrology from Pontifical\u00a0Catholic University of Rio de\u00a0Janeiro (PUC-Rio, Brazil).\u00a0Currently, He is a Ph.D.\u00a0candidate in Statistics of Universidad de Valpara\u00edso (UV,\u00a0Chile). His main research interests include pattern\u00a0recognition in Machine Learning, air pollution with Deep\u00a0Learning techniques, and Time Series with Singular\u00a0Spectrum Analysis. He is an associate professor of\u00a0Facultad de Ingenier\u00eda y Arquitectura, Universidad\u00a0Peruana Uni\u00f3n.<\/p>\n\n
Marvin Querales\u00a0Carrasquel<\/strong> (Member\u00a0IASC-ISI) received his\u00a0degree in Medical\u00a0Technology from\u00a0Universidad de Carabobo\u00a0(Venezuela) in 2008 and\u00a0the MSc. degree from\u00a0Universidad Central de\u00a0Venezuela in 2015.\u00a0Recently, in 2021, he also\u00a0received his Doctor
\ndegree in Statistic from Universidad de Valpara\u00edso (Chile).\u00a0From 2010 to 2016, he was a Full Professor of the Health\u00a0Sciences Faculty at Universidad de Carabobo, developing\u00a0research in cardiovascular diseases, and applying\u00a0statistical methods to biological sciences. From 2019 to\u00a02020, he worked as part-time professor at Universidad\u00a0Aut\u00f3noma de Chile teaching Statistics and since 2021 he\u00a0is working at Universidad de Valpara\u00edso as Professor of\u00a0Methodology and Statistics. His research interests include\u00a0Data Science, Decision Support Systems, and their\u00a0applications to healthcare and medicine.<\/p>\n\n
Ayleen Bertini Rojas\u00a0<\/strong>(Member IASC-ISI)\u00a0Nutritionist and Dietitian\u00a0graduated from the\u00a0Universidad de\u00a0Valpara\u00edso, Chile.\u00a0Certified in Food\u00a0Psychology, a specialist\u00a0in Chronic Diseases.\u00a0Student of the Doctoral\u00a0Program in Sciences and\u00a0Engineering for Health at
\nthe Universidad de Valpara\u00edso. Research Assistant for the\u00a0Laboratory for Research in Metabolic Diseases,\u00a0Interdisciplinary Center for Research in Territorial Health\u00a0of the Aconcagua Valley (CIISTe Aconcagua), Center for\u00a0Biomedical Research, Universidad de Valpara\u00edso, Chile.\u00a0With experience in Interdisciplinary Research in Health\u00a0and Data Science. Research interests: chronic diseases,\u00a0diabetes, pregnancy, artificial intelligence for health.<\/p>\n\n
Registration form<\/a><\/p>\n\n
To become a IASC-LARS member, please complete the Membership Application Form<\/a>.<\/p>\n\n
All participants are expected to adhere to the ISI Community Principles and Conduct Policy<\/a>.<\/p>\n\n
More information about GoToWebinar please visit www.gotomeeting.com\/webinar<\/a>.\u00a0GoToWebinar application is also available for iOS, Android and Windows Phone<\/a>.<\/p>\n\n
Before to attend the course, please visit the\u00a0 GoToWebinar webpage<\/a>\u00a0and see the video \u201cGoToWebinar\u00a0Attendee Quick Start\u201d. For more information, you can also visit the\u00a0 GoToWebinar YouTube channel<\/a>.<\/p>","editable":false,"start":"2021-09-27","allDay":true,"end":"2021-10-01","backgroundColor":"#ffffff"},{"title":"IASC-LARS Webinar on Computational Statistics and Data Science","id":"96-0","eid":"1118","url":"\/events\/node-1118","des":"
IASC-LARS Webinar on Computational Statistics and Data Science<\/a><\/h2>\n
University of Campinas<\/p>\n\n
$\"\u201cIASC-LARS\u201d\"$ <\/aside>\n
The Latin American Regional Section of the IASC is pleased to invite postgraduate and undergraduate students to attend the Webinar Course \u201c Statistical Inference in Markov Processes<\/a>\u201d.<\/p>\n\n
The Latin American Regional Section of the IASC, the IASC-LARS School on Computational Statistics and Data Science, the IASC and the ISI are pleased to invite postgraduate and undergraduate students to attend the IASC-LARS Webinar Course \u201cStatistical Inference in Markov Processes\u201d. The course will be team-taught by Professors Ver\u00f3nica Gonz\u00e1lez-L\u00f3pez and Jes\u00fas E. Garc\u00eda from University of Campinas, Brazil. The course will be held virtually using the platform GoToWebinar from 23-26 November 2020. The deadline for early registration is 20 October 2020. To attend this virtual course, please complete the IASC-LARS Webinar Registration Form<\/a> and send it to lacsc.lars.iasc@gmail.com.<\/p>","editable":false,"start":"2020-11-23","allDay":true,"end":"2020-11-27","backgroundColor":"#ffffff"},{"title":"IASC-LARS WEBINAR: Data Visualization, Theory and Applications","id":"97-0","eid":"1119","url":"\/events\/node-1119","des":"
IASC-LARS WEBINAR: Data Visualization, Theory and Applications<\/a><\/h2>\n
<\/p>\n\n
DATA VISUALIZATION THEORY AND APPLICATIONS<\/h2>\n
NATALIA DA SILVA, <\/strong>
\nUNIVERSIDAD DE LA REPUBLICA, URUGUAY<\/strong><\/p>\n\n
INTERNATIONAL ORGANIZING COMMITTEE:<\/p>\n\n
ALBA MART\u00cdNEZ-RUIZ, MONDAY ADENOMON, PAULO CANAS RODRIGUES, HAN-MING (HANK) WU, SARA TASKINEN, CRISTIAN GATU, LUIS FIRINGUETTI-LIMONE, DAVID MU\u00d1OZ-NEGRON<\/p>\n\n
PROGRAM<\/strong><\/p>\n\n
The Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the IASC-LARS School on Computational Statistics and Data Science, the International Association for Statistical Computing (IASC), and the International Statistical Institute (ISI) are pleased to invite postgraduate and undergraduate students to attend the IASC-LARS Webinar Course \u201cData Visualization: Theory and Applications\u201d. The course will be taught by Dr. Natalia da Silva from the Universidad de la
\nRep\u00fablica, Uruguay, November 22-24, 2021.<\/p>\n\n
The IASC-LARS Courses aim (1) to spread the knowledge base and advances in Statistical Computing in Latin American and the world, (2) to provide an overview of the state-of-the-art of the ongoing research in computational statistics, (3) to provide an overall perspective of the application of computational statistics in data science problems, (4) to present applications where computational statistics have been crucial to solve problems in real-life applications, and (5) to increase the number of researchers and practitioners in computational statistics and data science.<\/p>\n\n
INSTRUCTOR<\/strong>:<\/p>\n\n
Natalia da Silva (Instituto de Estad\u00edstica, Universidad de la Rep\u00fablica).<\/p>\n\n
AGENDA<\/strong><\/p>\n\n
(Local time: Montevideo \u2013 Uruguay, UCT -3 hours)<\/p>\n\n
Monday \u2013 November 22<\/strong>
\nsession 1: 09.00 \u2013 10.30
\nsession 2: 10.45 \u2013 11.30<\/p>\n\n
\n
Fundamentals of data visualization\n
\n
Importance of visualization.<\/li>\n\n
Basic data visualizations: (barchart, histogram, density plot, scatterplot, boxplot).<\/li>\n\n
Gestalt principles of visual perception: emergence, reification, multistability, invariance, laws of grouping (proximity, similarities, closure, continuity, connectedness).<\/li>\n\n
Aesthetic mappings and visual encodings of data.<\/li>\n\n
Use of color: how to select color based on the fundamental use cases (distinguish groups, represent data values and highlight).<\/li>\n\n
Introduction to the grammar of graphics with ggplot2.<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n
Tuesday \u2013 30 November
\n<\/strong>session 1: 09.00 \u2013 10.30
\nsession 2: 10.45 \u2013 11.30<\/p>\n\n
\n
Creating data displays in R
\n\n
\n
How to do basic data visualizations with ggplot2.<\/li>\n\n
Multiple layers, facetting and tidying your data.<\/li>\n\n
Scales and color.<\/li>\n\n
Publication-ready plots: themes, axes and aspect ratios, annotations.<\/li>\n\n
Additional geoms, examples to visualize uncertainty.<\/li>\n\n
Introduction to interactive visualization with plotly.<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n
Wednesday \u2013 1 December<\/strong>
\nsession 1: 09.00 \u2013 10.30
\nsession 2: 10.45 \u2013 11.30<\/p>\n\n
\n
Advanced topics
\n\n
\n
Visualizing models: display the model in the data space, look at all members of a collection and explore the process of model fitting, not just the end result.<\/li>\n\n
Introduction to graphical inference.<\/li>\n\n
Visualization in high dimensions, focus on visualizing high-dimensional numerical data using linear projections.<\/li>\n\n<\/ul>\n\n<\/li>\n\n<\/ul>\n\n
References<\/strong><\/p>\n\n
\n
Buja, Andreas, Dianne Cook, Heike Hofmann, Michael Lawrence, EunKyung Lee, Deborah F Swayne, and Hadley Wickham. 2009. Statistical inference for exploratory data analysis and model diagnostics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367 (1906): 4361-4383<\/li>\n\n
Cook, Dianne, Deborah F Swayne, and Andreas Buja. 2007. Interactive and dynamic graphics for data analysis: with r and ggobi. Springer.<\/li>\n\n
da Silva, Natalia, Dianne Cook, and Eun-Kyung Lee. 2017. Interactive graphics for visually diagnosing forest classifiers in r. arXiv preprint arXiv:1704.02502.<\/li>\n\n
Lee, Stuart, Dianne Cook, Natalia da Silva, Ursula Laa, Earo Wang, Nick Spyrison, and H<\/li>\n\n
Sherry Zhang. 2021. A review of the state-of-the-art on tours for dynamic visualization of high-dimensional data. arXiv preprint arXiv:2104.08016.<\/li>\n\n
Majumder, Mahbubul, Heike Hofmann, and Dianne Cook. 2013. Validation of visual statistical inference, applied to linear models. Journal of the American Statistical Association 108 (503): 942-956.<\/li>\n\n
Wickham, Hadley. July 2009. ggplot2: Elegant graphics for data analysis. useR. Springer.<\/li>\n\n
Wickham, Hadley, Dianne Cook, and Heike Hofmann. 2015. Visualizing statistical models: Removing the blindfold. Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (4): 203-225.<\/li>\n\n
Wickham, Hadley, Dianne Cook, Heike Hofmann, and Andreas Buja. 2010. Graphical inference for infovis. IEEE Transactions on Visualization and Computer Graphics 16 (6): 973-979.<\/li>\n\n
Wilke, Claus O. 2019. Fundamentals of data visualization: a primer on making informative and compelling figures. O\u2019Reilly Media.<\/li>\n\n
Wilkinson, Leland. 2012. The grammar of graphics. In Handbook of computational statistics, 375-414. Springer.<\/li>\n\n<\/ul>\n\n
INSTRUCTOR<\/strong>
\nNatalia da Silva<\/strong> is an assistant professor at Instituto de Estad\u00edstica, Universidad de la Rep\u00fablica, Montevideo, Uruguay (since 2017). She has a PhD in Statistics (2017) and a MSc in Statistics (2014) from Iowa State University. She has a BSc in Statistics (2007) and BSc in Economics (2008) from Universidad de la Rep\u00fablica. Some of her research interests are, supervised learning methods, prediction, exploratory data analysis, statistical graphics, reproducible research and meta-analysis.<\/p>\n\n
Registration form<\/a><\/p>\n\n
To become a IASC-LARS member, please complete the Membership Application Form<\/a>.
\n
\nAll participants are expected to adhere to the ISI Community Principles and Conduct Policy<\/a>.<\/p>\n\n
More information about GoToWebinar please visit www.gotomeeting.com\/webinar<\/a>.
\nGoToWebinar application is also available for iOS, Android and Windows Phone<\/a>.<\/p>\n\n
Before to attend the course, please visit the GoToWebinar webpage<\/a> and see the video \u201cGoToWebinar Attendee Quick Start\u201d. For more information, you can also visit the GoToWebinar YouTube channel<\/a>.<\/p>\n\n
<\/p>","editable":false,"start":"2021-11-22","allDay":true,"end":"2021-12-02","backgroundColor":"#ffffff"},{"title":"IASE Satellite Conference 2021 \u201cStatistics Education in the Era of Data Science\u201d","id":"98-0","eid":"1120","url":"\/events\/node-1120","des":"
IASE Satellite Conference 2021 \u201cStatistics Education in the Era of Data Science\u201d<\/a><\/h2>\n
<\/p>\n\n
The International Association for Statistical Education (IASE) is pleased to announce that its 12th Satellite Conference will take place from 30 August to 4 September 2021, a few weeks after the 63rd World Statistics Congress (WSC 63, 11\u201316 July). <\/strong><\/p>\n\n
<\/a><\/aside>\n\n
IASE Satellites bring 80-120 folks from around the world and the host country to share their passion, expertise and experiences in statistics education.<\/p>\n\n
More than ever before, analyzing the pandemic involves statistics and data science and makes visible the importance of these fields. The repositories of the top universities (like Johns Hopkins and Oxford) have shown the power of open data and open code. Data visualization tools like Gapminder and Our world in Data are freely available, as are state-of-the-art computational tools. Promoting an interest in data science and learning more about statistics in this era, individually or at school or university, should be a high priority for all of us in the field of statistics education. The pandemic provides an opportunity to revisit some old ways of doing things and perhaps bring changes that may offer something better. This is why our IASE 2021 theme, Statistics Education in the Era of Data Science, is important.<\/p>\n\n
We invite you to participate in the Satellite Conference, to join us in sharing knowledge, questions, and ideas that enable us to learn from the work of esteemed colleagues from around the globe and help to advance the teaching and learning of statistics and data science. The conference will be a mixture of plenary talks, papers, poster sessions, and hands-on workshops.<\/p>\n\n
Call for Papers
\nThe International Program Committee (IPC) of the IASE 2021 Satellite Online Conference is now accepting submissions with contributions in the form of papers, workshops and posters that fit the theme Statistics Education in the Era of Data Science, and address one of the following topics:<\/p>\n\n
Topic 1: Connecting Statistics Education and Data Science
\nTopic 2: Statistical Learning from the COVID-19 Pandemic
\nTopic 3: Promoting Data Literacy and Statistical Literacy
\nTopic 4: Statistics and Data Science for Social Good
\nTopic 5: Experiences of Teaching from a Distance<\/p>\n\n
Abstracts are due by 28 February 2021<\/strong>.<\/p>\n\n
For details please see the conference website<\/a>.<\/p>\n","editable":false,"start":"2021-08-30","allDay":true,"end":"2021-09-05","backgroundColor":"#ffffff"},{"title":"IASS Webinar 11: Positioning Household Surveys for the Next Decade","id":"99-0","eid":"1121","url":"\/events\/node-1121","des":"
IASS Webinar 11: Positioning Household Surveys for the Next Decade<\/a><\/h2>\n
<\/p>\n\n
Household surveys play a critical role in meeting national data needs. A recent mapping exercise found that approximately one-third of all Sustainable Development Goal global indicators (80 out of 232 indicators), covering 13 different goals, can be sourced from household surveys. Despite their fundamental role in national statistical systems over the past decades, household surveys are facing funding challenges and skepticism on their continued utility within the changing data landscape. Within this context, the COVID-19 pandemic exacerbated existing challenges for household surveys, given limitations on face-to-face survey operations as a result of social distancing and other restrictions in many countries. A survey conducted by the UN Statistical Division and the World Bank in May 2020 found that 96\u00a0percent of national statistical offices either partially or fully stopped face-to-face data collection at some point during the pandemic. The increased need for timely, high-quality data on the impacts of the pandemic heightened demands for more efficient household survey systems relative to the status quo. In response to these challenges, national statistical offices have acted quickly to respond to new data needs introduced by the pandemic, while maintaining the continuity of existing data collection programmes. To do so, countries have adopted innovative approaches and\/or turned to alternative data sources , with most countries implementing one or more rounds of phone or web surveys measuring the impact of COVID-19 in the past year. Looking ahead, the global data community faces several key questions on the future of household surveys. How will COVID-19 reshape national household survey programs in the future? How can we establish sustainable household survey programs that are resilient and versatile to future shocks like COVID-19? Will COVID-19 be a catalyst for innovation in the field of household surveys? What are the priority actions for countries and for the international community in the next decade for household surveys? A position paper is being prepared by the Inter-Secretariat Working Group of Household Surveys (ISWGHS) that aims to identify priority areas and the enabling environment, both at the national and international level, for household surveys to better perform their foundational roles, meet new data demands and increase their development policy and research impact in the remaining decade for the 2030 Agenda for Sustainable Development. The paper articulates these priorities as a blueprint for action for the ISWGHS, given its mandate of supporting countries as they work towards achieving the SDGs. The presentation will cover the recent work of ISWGHS on improving national capacity in the area of household surveys and key aspects covered by the position paper. ISWGHS looks forward to receiving input from and collaborating with members of IASS.<\/p>\n\n
Speaker:\u00a0Gero Carletto<\/strong><\/p>\n\n
Register for free<\/a>.<\/p>","editable":false,"start":"2021-11-23","allDay":true,"end":"2021-11-24","backgroundColor":"#ffffff"},{"title":"IASS Webinar 12: Robust Analysis of Linked Sample Data","id":"100-0","eid":"1122","url":"\/events\/node-1122","des":"
IASS Webinar 12: Robust Analysis of Linked Sample Data<\/a><\/h2>\n
Virtual<\/p>\n\n
There is growing interest in a data integration approach to survey sampling, particularly where a sample is linked to one or more population registers. The reason for doing this is simple \u2013 it is only by linking the same individuals in the different sources that it becomes possible to create a data set suitable for analysis.<\/p>\n\n
Data linkage is not error free. Many linkages are non-deterministic, based on how likely a particular linking decision corresponds to a correct match, i.e., it brings together the same individual in both sources. High quality linking will ensure that the probability of this happening is high. But this may not be the case, and analysis of the resulting linked data should take account of this additional source of error. This is especially true for secondary analysis carried out without access to the linking information.<\/p>\n\n
We describe an inferential framework that allows for linkage errors under sample to register linkage. After first reviewing current research activity in this area, we focus on secondary analysis and linear regression modelling, including the important special case of estimation of subpopulation and small area means. In doing so we consider both robustness and efficiency of the resulting linked data inferences.<\/p>\n\n
Register\u00a0for free<\/a><\/p>\n\n
After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.<\/p>\n\n
Presenters:\u00a0<\/h2>\n
\n
RAY CHAMBERS
\n<\/strong>Ray Chambers is Honorary Professorial Fellow at the National Institute for Applied Statistics Research Australia, University of Wollongong, Australia. He is an elected member of the International Statistical Institute and a Fellow of the American Statistical Association. He was co-Editor in Chief of the International Statistical Review 2015-2019 and has been an Associate Editor for the Journal of Official Statistics, Survey Methodology, the Journal of the Royal Statistical Society (Series A and B) and the Annals of Statistics. He was President of the International Association of Survey Statisticians, 2011-2013 and International Representative on the Board of the American Statistical Association, 2011-2014. His research is focused on robust model-based methods for inference from complex data, particularly where this complexity arises through integration of data from multiple sources. With Chris Skinner, he jointly edited Analysis of Survey Data, Wiley, 2003. More recently, he co-authored Maximum Likelihood Estimation for Sample Surveys, CRC Press, 2012, with David Steel, Alan Welsh and Suojin Wang, and An Introduction to Model-Based Survey Sampling with Applications, Oxford University Press, 2012, with Robert Clark.
\n
\n<\/strong><\/li>\n\n
NICOLA SALVATI
\n<\/strong>Nicola Salvati is Associate Professor in Statistics in the Department of Economics and Management, University of Pisa, Italy. He is Associate Editor for the Biometrical Journal, the Journal of the Royal Statistical Society (Series A) and Statistical Methods & Applications. His research is focused on small area estimation, and particularly its use to estimate poverty measures when based on M-quantile and latent variable models. His research interests also include survey sampling, model-assisted and design-based inference, robust regression and spatial statistics. His most recent area of research involves development of new statistical methods based on latent variable models for estimating parameters from non-deterministically linked data.
\n
\n<\/strong><\/li>\n\n
ENRICO FABRIZI
\n<\/strong>Enrico Fabrizi is associate professor in Business and Economics Statistics at the Universit\u00e0 Cattolica del Sacro Cuore (Catholic University of the Sacred Heart), Milan, Italy. He holds a PhD in Statistics from the Department of Statistics, University of Bologna. His research interests cover survey sampling methodology, Bayesian inference applied to the analysis of complex survey data and small area estimation. His recent research has focused on development of new statistical methods for the analysis of linked or matched data sets and synthetic panels.
\n<\/strong><\/li>\n\n<\/ul>","editable":false,"start":"2021-12-15","allDay":true,"end":"2021-12-16","backgroundColor":"#ffffff"},{"title":"IASS Webinar 14: Rescuing non-probability samples: an experience with model-based inference from a web-panel survey","id":"101-0","eid":"1123","url":"\/events\/node-1123","des":"IASS Webinar 14: Rescuing non-probability samples: an experience with model-based inference from a web-panel survey<\/a><\/h2>\n
Virtual<\/p>\n\n
In recent years, a range of methods have been developed for handling unusual data sources \u2013 Big Data and non-probability samples \u2013to enable the production of public and official statistics. The core methods available are quasi-randomization, superpopulation modelling and doubly-robust estimation. They rely on the use of generalized linear models and aim to produce estimates with reliability like that of estimates from traditional probability samples of similar sizes. Quasi-randomization involves using a probability sample survey as reference to estimate pseudo-weights for units in a non-probability sample or big data-type source, where coverage of the target population is insufficient or unknown. We present a brief review of the available methods and an application in which quasi-randomization was used successfully to make inference from a web-panel survey carried out by CETIC.br.<\/p>\n\n
Register for free<\/a><\/p>","editable":false,"start":"2022-02-23","allDay":true,"end":"2022-02-24","backgroundColor":"#ffffff"},{"title":"IASS Webinar: Population size estimation using administrative data","id":"102-0","eid":"1125","url":"\/events\/node-1125","des":"
IASS Webinar: Population size estimation using administrative data<\/a><\/h2>\n
Virtual<\/p>\n\n
11:00 am - 12:30pm (CET)<\/p>\n\n
\u201cMultiple system estimation using covariates having missing values and measurement error: estimating the size of the Maori population in New Zealand\u201d<\/p>\n\n
\u00a0<\/p>\n\n
Speakers:<\/span><\/b>\u00a0<\/p>\n\n
\n
Professor Peter van der Heijden\u00a0<\/b><\/li>\n\n
Professor Paul Smith<\/b>
\n
\n<\/b><\/li>\n\n<\/ul>\n\n
All are invited to this webinar<\/a>, organised by the International Association for Survey Statisticians<\/a>.\u00a0<\/span><\/p>\n\n
$\"the$ <\/p>\n\n
Abstract<\/strong><\/p>\n\n
We investigate the use of two or more linked registers, or lists, for both population size estimation and investigation of the relationship between variables appearing on all or only some registers. This relationship is usually not fully known because some individuals appear in only some registers, and some are not in any register. These two problems have been solved simultaneously using the EM algorithm. We extend this approach to estimate the size of the indigenous Maori population in New Zealand, leading to several innovations: (1) the approach is extended to four registers (including the population census), where the reporting of Maori status differs between registers; (2) some individuals in one or more registers have missing ethnicity, and we adapt the approach to handle this additional missingness; (3) some registers cover subsets of the population by design. We discuss under which assumptions such structural undercoverage can be ignored and provide a general result; (4) we treat the Maori indicator in each register as a variable measured with error, and embed a latent class model in the multiple system estimation to estimate the population size of a latent variable, interpreted as the true Maori status. Finally, we discuss estimating the Maori population size from administrative data only.<\/p>\n\n
The moderator for the webinar will be James Chipperfield (IASS, Vice President). There will be time for questions. The webinar will be recorded and made available on the IASS website.<\/p>\n\n
Register for this event<\/a><\/p>\n\n
After registering, you will receive a confirmation email containing information about joining the webinar.<\/p>\n\n
Biographies of the speakers<\/strong><\/p>\n\n
Peter van der Heijden is Professor of Statistics in the Department of Methodology and Statistics at the faculty of Social and Behavioural Sciences at Utrecht University, and Professor of Social Statistics at the Southampton Statistical Science of the University of Southampton. In Utrecht he is the leader of the focus area of Applied Data Science.<\/p>\n\n
Paul Smith is Professor of Official Statistics in the Dept of Social Statistics and Demography at the University of Southampton and works closely with the Office for National Statistics on a range of projects. He is just finishing a term as Discussion Papers Editor for the Journals of the Royal Statistical Society.<\/p>","editable":false,"start":"2020-12-09","allDay":true,"end":"2020-12-10","backgroundColor":"#ffffff"},{"title":"IAU-IAA Astrostatistics and Astroinformatics seminar series","id":"103-0","eid":"1126","url":"\/events\/node-1126","des":"
IAU-IAA Astrostatistics and Astroinformatics seminar series<\/a><\/h2>\n
<\/p>\n\n
This international online seminar is an initiative of the International Astrostatistics Association and the IAU Astroinformatics and Astrostatistics Commission. It focuses on statistical analysis and data mining of astronomical data.<\/p>\n\n
The seminar is run on Zoom monthly on second Tuesdays alternating between Europe-America and Australasia-Europe time zone instances. Please check the exact time and time differences with your timezone<\/a>.<\/p>\n\n
Next seminar:
\n Tuesday 9 November 2021\/ 8:00<\/a> (UTC)<\/p>\n\n

\nProf Ilya Mandel (Monash University, Australia)<\/h2>\n
\u00a0<\/p>\n\n
The Zoom meeting link can be obtained via Subscription<\/a><\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-11-09","allDay":true,"end":"2021-11-10","backgroundColor":"#ffffff"},{"title":"ICES VI","id":"104-0","eid":"1127","url":"\/events\/node-1127","des":"
ICES VI<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"ICES$ <\/aside>\n
The International Conference on Establishment Statistics (ICES) promotes discussion of a broad range of issues related to the statistics of businesses, farms, or institutions. ICES features invited and contributed papers and demonstrations from around the globe that highlight new, improved, and upcoming establishment statistics methodologies and technologies using census data, administrative or other organic data, and sample survey data.<\/p>\n\n
Participants come from academia, government statistical agencies, private businesses, statistical associations, and other sectors with an interest in international best practices in conceptualization, design, data collection, analysis, and dissemination.<\/p>\n\n
The conference proceedings provide a historical repository of valuable information related to the development and use of establishment statistics.<\/p>\n\n
ICES has a truly international character. The conference may take place anywhere in the world, although its official language is English. Participation is open to all with an interest in establishment statistics. Contributed papers and demonstrations are chosen solely based on merit.\u00a0<\/p>\n\n
Early Registration Begins February 10!<\/strong><\/p>","editable":false,"start":"2021-06-14","allDay":true,"end":"2021-06-18","backgroundColor":"#ffffff"},{"title":"ICME14 Conference in Hybrid Mode","id":"105-0","eid":"1128","url":"\/events\/node-1128","des":"
ICME14 Conference in Hybrid Mode<\/a><\/h2>\n
East China Normal University (Putuo campus)<\/p>\n\n
The 14th International Congress on Mathematical Education has been rescheduled to 11 - 18 July 2021.<\/strong><\/p>\n\n
<\/a><\/aside>\n
After being delayed from July 2020 due to the COVID-19 pandemic, the 14th International Congress on Mathematical Education has been rescheduled to 11 - 18 July 2021. The leadership team has decided that ICME14 will have a hybrid format, both online and face-to-face in Shanghai, China. ICME14 includes Topic Study Groups on probability education and statistics education, among others. Registration has reopened with more information at the conference website<\/a>.<\/p>","editable":false,"start":"2021-07-11","allDay":true,"end":"2021-07-19","backgroundColor":"#ffffff"},{"title":"ICMSA 2021","id":"106-0","eid":"1129","url":"\/events\/node-1129","des":"
ICMSA 2021<\/a><\/h2>\n
<\/p>\n\n
Gearing towards Mathematics and Statistics Community\u00a0in the Disruptive Era<\/h2>\n
$\"$ <\/p>\n\n
The 17th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA2021) is initiated by IMT-GT (Indonesia-Malaysia-Thailand Growth Triangle) consortium to promote mathematics and statistics in the region. The purpose of the conference is to bring together mathematicians, statisticians, academics and students from the region of Indonesia, Malaysia, and Thailand, as well as any other regions around the world, to share knowledge, expertise, and the recent development of mathematics and statistics in the form of plenary presentations and related social events.<\/p>\n\n
More information on the event’s website<\/a>.<\/p>\n\n
Keynote Speakers<\/h2>\n
\n
Prof. Dr.Satit Saejung<\/strong>,\u00a0Khon Kaen University,\u00a0Thailand<\/li>\n\n
Prof. Ts. Dr. Muhammad Hisyam Lee<\/strong>,\u00a0Universiti Teknologi,\u00a0Malaysia<\/li>\n\n
Prof. Dr. Khairil A. Notodiputro<\/strong>, Bogor Agricultural University, Indonesia<\/li>\n\n<\/ul>\n\n
Invited Speakers<\/h2>\n
\n
Prof. Dr. Surasak Sangkhathat (M.D., PhD.)<\/strong>,\u00a0Prince of Songkla University, Thailand<\/li>\n\n
Dr. Sampurnna Kakchapati<\/strong>,\u00a0HERD International,\u00a0Nepal<<\/li>\n\n
Dr. Bright Emmanuel Owusu<\/strong>,\u00a0Presbyterian University College,\u00a0Ghana<\/li>\n\n<\/ul>\n\nImportant Dates<\/h2>\n
\n
Deadline for Abstract Submission 31 July 2021<\/li>\n\n
Deadline for Early Bird Registration 31 July 2021<\/li>\n\n
Notification for Abstract Acceptance 15 August 2021<\/li>\n\n
Deadline for Full Paper Submission 30 September 2021<\/li>\n\n
Notification for Full Paper Acceptance 31 October 2021<\/li>\n\n
Deadline for Registration 10 November 2021<\/li>\n\n
Deadline for Payment 15 November 2021<\/li>\n\n<\/ul>\n\n
\u00a0<\/p>","editable":false,"start":"2021-12-13","allDay":true,"end":"2021-12-15","backgroundColor":"#ffffff"},{"title":"ICOTS 11","id":"107-0","eid":"1130","url":"\/events\/node-1130","des":"
ICOTS 11<\/a><\/h2>\n
Rosario, Argentina<\/p>\n\n
11th International Conference on\u00a0Teaching Statistics -\u00a0\u201cBridging the Gap: Empowering and Educating\u00a0Today\u2019s Learners in Statistics\u201d<\/h2>\n
The 11th International\u00a0Conference on\u00a0Teaching Statistics will be hosted by the Universidad Nacional de Rosario, Argentina in September 11-16, 2022.<\/p>\n\n
\n
Topics<\/a><\/li>\n\n
Important dates<\/a><\/li>\n\n<\/ul>\n\n
\u00a0<\/p>","editable":false,"start":"2022-09-11","allDay":true,"end":"2022-09-17","backgroundColor":"#ffffff"},{"title":"IES 2022 - Innovation & Society 5.0","id":"108-0","eid":"1131","url":"\/events\/node-1131","des":"
IES 2022 - Innovation & Society 5.0<\/a><\/h2>\n
University of Campania "L. Vanvitelli, Italy<\/p>\n\n
Statistical and Economic Methodologies for Quality Assessment<\/h2>\n\n
\n\t
Italian Statistical Society (SIS)<\/li>\n\t
European Network for Business<\/li>\n\t
Industrial Statistics (ENBIS), Economics Department, University of Campania \u201cL. Vanvitelli\u201d<\/li>\n<\/ul>\n\n
Website address for the event<\/a><\/p>\n\n
Objectives of the Event: IES 2022 \u201cInnovation & Society 5.0\u201d aims<\/p>\n\n
\n\t
to promote and coordinate the statistical and economic methodologies for the evaluation of a human-centered society emphasizing how statistical thinking, design and analysis may be of use to a Society 5.0. The Society 5.0 addresses all areas of our work and our own life. We will therefore see changes in many aspects of our society and this will require many data analysts, who will have to manage information systems and work with Big Data.<\/li>\n\t
to foster advanced methodological research supporting the assessment of quality of social services. Indeed, in the Society 5.0 anyone can enjoy a high quality of life full of vigor where a higher value of services is recognized to the collaboration between man and machine, and the moral, ethical and economic values of digitization are rooted in the whole society.<\/li>\n\t
to be a platform where the experts of Statistics, Data Mining, Data Science, Machine Learning and related disciplines meet to understand and analyse administrative systems with Big Data.
\n\tApplication fields of interest for the Conference are the following: Sustainability, Health, Wellness, Sport, Tourism, Education, Training and Research, Bank and FinTech, Transportation, Environment, Enterprise, Industry and Finance, E.commerce, Digital Marketing, Labour Market, Public Administration, Justice System.<\/li>\n\t
To make it as useful and constructive as possible, the Conference is open to the participation of and discussion with scholars of other disciplines, experts, responsible managers for development policies dealing with the relationships between evaluation, innovation and society.<\/li>\n<\/ul>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-01-27","allDay":true,"end":"2022-01-29","backgroundColor":"#ffffff"},{"title":"Inaugural Hollander Distinguished Lectureship","id":"109-0","eid":"1132","url":"\/events\/node-1132","des":"
Inaugural Hollander Distinguished Lectureship<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ <\/p>\n\n
The Department of Statistics at Florida State University is pleased to announce Nancy Reid, University Professor and Canada Research Chair in Statistical Methodology at the University of Toronto, as the inaugural speaker for its newly endowed Myles Hollander Distinguished Lecture.<\/p>\n\n
Reid will present \u201cThree Rs \u2014 Reliability, Replicability, Reproducibility:\u00a0 the interplay between statistical science and data science\u201d<\/em> .<\/p>\n\n
The Myles Hollander Distinguished Lectureship was established by Robert O. Lawton Distinguished Professor and statistics professor emeritus at Florida State University Myles Hollander, in appreciation of the university, its statistics department, and the statistics profession. The annual lectureship will recognize an internationally renowned leader and pioneering researcher in statistics who has made a sustained impact on the field, and the lectures will feature topics spanning the breadth of statistics.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-10-30","allDay":true,"end":"2020-10-31","backgroundColor":"#ffffff"},{"title":"Institute for Data Science and Big Data","id":"110-0","eid":"1133","url":"\/events\/node-1133","des":"
Institute for Data Science and Big Data<\/a><\/h2>\n
<\/p>\n\n
\n
\n
$\"American$ \n\n<\/p><\/div>\n\n
\n
American University will hold the 2021 Institute for Data Science and Big Data online, which is geared to working professionals looking to upgrade their data science skills. The institute will cover the basics of data science, including obtaining relevant data, cleaning and exploring data, creating models, stating inferences, making reliable predictions, and communicating findings.<\/p>\n\n
The course consists of a mixture of lectures, guest speakers, and group assignments.\u00a0<\/p>\n\n
Course schedule:<\/strong>\u00a0January 4-8 and January 11-15, 2021;\u00a09 am to 5 pm EST every day.<\/p>\n\n<\/div>\n\n<\/div>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-01-04","allDay":true,"end":"2021-01-16","backgroundColor":"#ffffff"},{"title":"International Conference for Clinical Biostatistics","id":"111-0","eid":"1134","url":"\/events\/node-1134","des":"
International Conference for Clinical Biostatistics<\/a><\/h2>\n
Newcastle, UK<\/p>\n\n
The 43rd International Conference for Clinical Biostatistics<\/a> will be held in the UK in the city of Newcastle, which is located in beautiful rolling countryside with nightlife, castles and coastline all within easy reach. This conference will provide statisticians the opportunity to network, present their research and engage in discussions on recent advances in clinical biostatistics.<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2022-08-21","allDay":true,"end":"2022-08-26","backgroundColor":"#ffffff"},{"title":"International Conference on "Statistics for Sustainable Finance","id":"112-0","eid":"1135","url":"\/events\/node-1135","des":"
International Conference on "Statistics for Sustainable Finance<\/a><\/h2>\n
Mixed physical \/ virtual basis in Paris, France<\/p>\n\n
The conference will be co-organised by the IFC with the Bank of France and the Deutsche Bundesbank which will be held on a\u00a0mixed physical \/ virtual basis\u00a0<\/strong>in Paris, France, on\u00a014-15 September 2021.<\/b><\/p>\n\n
Please find the link to the latest programme<\/a> which is also published on the IFC Website at Events (bis.org)<\/a>.<\/p>\n\n
We invite you all to officially register for the conference on the conference web form<\/a>.<\/p>\n\n
Please also indicate in the registration form whether you plan to attend the conference physically or virtually by distance.<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-09-14","allDay":true,"end":"2021-09-16","backgroundColor":"#ffffff"},{"title":"International Conference on Data Analytics for Business and Industry","id":"113-0","eid":"1136","url":"\/events\/node-1136","des":"
International Conference on Data Analytics for Business and Industry<\/a><\/h2>\n
Virtual<\/p>\n\n
<\/aside>\n
Aiming to provide an international platform to researchers, data scientists, business managers, and industry practitioners to meet and exchange their ideas and novel approaches to the technical challenges of a data driven world, this virtual conference will be held on 26-27 October 2020.<\/p>\n\n

\nThe conference is sponsored by the International Society for Business and Industrial Statistics.\u00a0See\u00a0 further details including registration<\/a>.<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2020-10-26","allDay":true,"end":"2020-10-28","backgroundColor":"#ffffff"},{"title":"International Conference on Mathematics, Statistics, and Data Science","id":"114-0","eid":"1137","url":"\/events\/node-1137","des":"
International Conference on Mathematics, Statistics, and Data Science<\/a><\/h2>\n
Virtual<\/p>\n\n
The Conference is organized by the Department of Statistics and the Department of Mathematics, IPB University in fields of mathematics, statistics, data science and their applications. This international conference is supported by FORSTAT, ISI-Indonesia, IndoMS and IORA. This activity will be held online using Zoom, dealing with the theme of this seminar is Optimal Data Utilization to Reach Brighter Future.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-11-11","allDay":true,"end":"2020-11-13","backgroundColor":"#ffffff"},{"title":"International Conference on Robust Statistics (ICORS)","id":"115-0","eid":"1138","url":"\/events\/node-1138","des":"
International Conference on Robust Statistics (ICORS)<\/a><\/h2>\n
Vienna, Austria<\/p>\n\n
The conference has been an annual international conference since 2001. The aim of the conferences is to bring together researchers and practitioners interested in robust statistics, data analysis and related areas. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-09-20","allDay":true,"end":"2021-09-25","backgroundColor":"#ffffff"},{"title":"International country and city rankings: methodology, data, transparency","id":"116-0","eid":"1139","url":"\/events\/node-1139","des":"
International country and city rankings: methodology, data, transparency<\/a><\/h2>\n
Moscow, Russia \/ Virtual<\/p>\n\n
On 28 September 2021, the conference \u201cInternational city and country rankings : methodology, data, transparency\u201d will be held following the ISI World Statistics Congress. The event is organised by the Federal State Statistics Service, in cooperation with the Moscow City Government and the Moscow Analytical Center. The event will be held in hybrid mode: online and live, in Moscow (39, Miasnitskaya Street, building 1).<\/p>\n\n
$\"$ <\/p>\n\n
International rankings affect all spheres of countries, regions and cities life. It is an important modern tool for decision making. However, the results of rankings are not always clear and transparent. In addition to official statistics, alternative data sources, estimates, various methodological approaches are often used. It complicates data verification and understanding by users. Therefore, it is necessary to ensure an open dialogue and develop effective mechanisms for interaction with international organizations and ranking agencies.<\/p>\n\n
\n
Website<\/a><\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-09-28","allDay":true,"end":"2021-09-29","backgroundColor":"#ffffff"},{"title":"International Data, Education, and Society online Congress","id":"117-0","eid":"1140","url":"\/events\/node-1140","des":"
International Data, Education, and Society online Congress<\/a><\/h2>\n
<\/p>\n\n
The University of Grenada in Spain is organizing an international conference on Data, Education, and Society from 25 to 27 January 2021.<\/strong><\/p>\n\n
<\/a><\/aside>\n
Two groups at the University of Grenada in Spain - statistical education and data, education, inclusion, and society - are organizing an international conference on Data, Education, and Society. The conference will be from 25 to 27 January 2021 and will include seminars, communications, and posters on mathematics and statistics education from a data-driven perspective. Short communication papers of maximum 5 pages and virtual posters may be presented in Spanish, Portuguese, or English. The organizers will edit an e-book of contributions, with ISBN, to be sent in PDF format to all participants.<\/p>\n\n
Registration is free! The deadline to submit contributions is 23 December. For further information (primarily in Spanish with some English), see the conference website<\/a>.<\/p>","editable":false,"start":"2021-01-25","allDay":true,"end":"2021-01-28","backgroundColor":"#ffffff"},{"title":"International scientific and practical conference \u201cStatistical Assessments of Sustainable Development\u201d","id":"118-0","eid":"1141","url":"\/events\/node-1141","des":"
International scientific and practical conference \u201cStatistical Assessments of Sustainable Development\u201d<\/a><\/h2>\n
Saint Petersburg, Russia<\/p>\n\n
Dear Colleagues!<\/p>\n\n
We invite you to take part in the next international conference on statistical measurement and applied statistics.<\/p>\n\n
In 2015, the leaders of the Member States of the United Nations adopted the 2030 Agenda for Sustainable Development, which includes 17 global goals and 169 economic, social and environmental challenges that humanity must address in order to achieve sustainable development. The statistical community plays a huge role in this process. The purpose of the conference is to study, exchange and disseminate experience and knowledge in the field of theoretical foundations and practice of measuring sustainable development goals (SDGs).<\/p>\n\n
Read more information on the conference website<\/a>.<\/p>\n\n
Registration form<\/a>.<\/p>\n","editable":false,"start":"2022-01-27","allDay":true,"end":"2022-01-29","backgroundColor":"#ffffff"},{"title":"International Symposium on Nonparametric Statistics","id":"119-0","eid":"1142","url":"\/events\/node-1142","des":"
International Symposium on Nonparametric Statistics<\/a><\/h2>\n
Paphos, Cyprus<\/p>\n\n
The conference<\/a> has been postponed to 2022 and it will bring forth recent advances and trends in several areas of nonparametric statistics, in order to facilitate the exchange of research ideas, promote collaboration among researchers from all over the world, and contribute to the further development of the field. The program will include plenary talks, special invited talks, invited talks, contributed talks and posters on all areas of nonparametric statistics.<\/p>","editable":false,"start":"2022-06-20","allDay":true,"end":"2022-06-25","backgroundColor":"#ffffff"},{"title":"Introduction to Graph Sampling","id":"120-0","eid":"1143","url":"\/events\/node-1143","des":"
Introduction to Graph Sampling<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-05-25","allDay":true,"end":"2021-05-28","backgroundColor":"#ffffff"},{"title":"Introduction to Machine Learning","id":"121-0","eid":"1144","url":"\/events\/node-1144","des":"
Introduction to Machine Learning<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-14","allDay":true,"end":"2021-06-16","backgroundColor":"#ffffff"},{"title":"ISBIS Satellite Meeting","id":"122-0","eid":"1145","url":"\/events\/node-1145","des":"
ISBIS Satellite Meeting<\/a><\/h2>\n
<\/p>\n\n
$\"ISBIS\"$ <\/a><\/p>\n\n
The ISBIS 2021 satellite meeting will go ahead as a free virtual conference using the GoToWebinar facility on Friday, 7 May 2021 from 2.00 to 5.00 pm CET<\/strong> (9.00 to 12.00 pm China Standard Time and 7.00 to 10.00 am Central Standard time).<\/p>\n\n
Please mark this event in your calendar.<\/p>\n\n
All ISBIS members are invited to submit recorded 10-minute presentations that will be posted on the ISBIS website and promoted during the virtual satellite meeting.<\/p>\n\n
More details on these submissions will become available soon together with information on the invited speakers.<\/p>\n\n
Register<\/a><\/p>\n\n
\u00a0<\/p>\n\n
We look forward to meeting you online.<\/p>\n\n
Dan Jeske, Caterina Liberati and Martina Vandebroek<\/strong><\/p>\n\n
The Organizing Committee<\/strong><\/p>","editable":false,"start":"2021-05-07","allDay":true,"end":"2021-05-08","backgroundColor":"#ffffff"},{"title":"ISBISKOCHI2020: International Virtual Conference on Advanced Statistical Techniques in Business and Industry","id":"123-0","eid":"1146","url":"\/events\/node-1146","des":"
ISBISKOCHI2020: International Virtual Conference on Advanced Statistical Techniques in Business and Industry<\/a><\/h2>\n
Virtual<\/p>\n\n
\n
\n
A Regional Virtual Conference of International Society for Business and Industrial Statistics (ISBIS)<\/h2>\n
In Conjunction with Silver Jubilee Anniversary of Department of Statistics,\u00a0Cochin University of Science and Technology.\u00a0(CUSAT)<\/p>\n\n
This is an ISBIS regional virtual conference.\u00a0 For full details visit the website<\/a>.<\/p>\n\n
ISBIS is very keen to promote student participation in its conferences. Therefore,\u00a0students of statistics from low and lower-middle income countries who wish to attend ISBISKOCHI2020\u00a0can apply for World\u00a0Bank funding to compensate for their registration fees. They can submit their request by visiting the conference website on or\u00a0before 20 December.\u00a0Preference will be given to research students.\u00a0The lists of low and lower-middle income countries are available here<\/a>.\u00a0Note that India is on the lower-middle income countries list.<\/p>\n\n
The conference is a part of the activity of the Department of Statistics, Cochin University of Science and Technology (CUSAT), under the SAP-DRS Level III of the University Grants Commission, India and International Society for Business and Industrial Statistics (ISBIS). The conference will be held virtually on December 28-30, 2020 on an online platform. The conference is a significant event as 2020 is the Silver Jubilee year of the Department of Statistics, CUSAT. The primary objective of the conference is to provide a platform for disseminating recent developments on statistical methods for different fields of application in general, Business and Industry in particular. With an aim to expose young researchers and students to ideas in the theory and applications of Statistics, the seminar will consist of expository talks by experts in addition to invited talks and contributory sessions. The sessions will include deliberations in the area of Reliability Theory, Survival Analysis, Probability Theory, Statistical Inference, Industrial Statistics, Data Mining, Stochastic Models, Queuing and Inventory models, Time Series Analysis, Linear Models, Design of Experiments, Biostatistics, Bioinformatics, Multivariate Methods and Survey Sampling, Data Science, Machine Learning, etc. The proceedings of the conference will be published in a special issue of Applied Stochastic Models in Business and Industry (ASMBI) subject to the review policy of the journal.<\/p>\n\n<\/div>\n\n
\n
$\"cochin-university-of-sciencetechnology\"$ \n\n<\/p>
$\"ISBIS\"$ \n\n<\/p>
$\"ISI\"$ <\/p>\n\n<\/div>\n\n<\/div>","editable":false,"start":"2020-12-28","allDay":true,"end":"2020-12-31","backgroundColor":"#ffffff"},{"title":"IWFOS 2020","id":"124-0","eid":"1147","url":"\/events\/node-1147","des":"
IWFOS 2020<\/a><\/h2>\n
Brno, Czech Republic<\/p>\n\n
$\"$ The 5th International Workshop on Functional and Operatorial Statistics (IWFOS 2020) will be a platform for communication, exchange of ideas and interaction for researchers in statistics for infinite-dimensional and high-dimensional problems. It will offer invited talks and contributed oral and poster communications on theory, methods and applications in the vibrant field of functional data analysis.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-06-23","allDay":true,"end":"2021-06-26","backgroundColor":"#ffffff"},{"title":"Joint IAOS-IASS Webinar to Celebrate World Statistics Day: On the Importance to Society of High Quality Public Statistics","id":"125-0","eid":"1148","url":"\/events\/node-1148","des":"
Joint IAOS-IASS Webinar to Celebrate World Statistics Day: On the Importance to Society of High Quality Public Statistics<\/a><\/h2>\n
Virtual<\/p>\n\n
The main objective of the webinar is to provide examples of interactions between Big data and Surveys worlds focusing also on these during the Covid emergency.<\/span><\/p>\n\n
Register here<\/a>.<\/span><\/p>","editable":false,"start":"2020-11-05","allDay":true,"end":"2020-11-06","backgroundColor":"#ffffff"},{"title":"Joint meeting of the 8th Taipei Symposium and the 3rd ISI RSC","id":"126-0","eid":"1149","url":"\/events\/node-1149","des":"
Joint meeting of the 8th Taipei Symposium and the 3rd ISI RSC<\/a><\/h2>\n
Academia Sinica, Taipei, Taiwan<\/p>\n\n
$\"$ We plan to have four keynote speakers, 10 Special Invited Sessions (SIS), 50-60 other sessions, and a short course.<\/p>\n\n
We will invite people from Taiwan, Hong Kong, Korea, Japan, Singapore, Malaysia, USA, Europe, and other countries to organize invited sessions. We will also call for TCP sessions, papers,and posters.<\/p>\n\n
International organization committee: John Bailer (Miami University, ISI President), Chun-houh Chen (Institute of Statistical Science, Academia Sinica, Director), I-Ping Tu (Institute of Statistical Science, Academia Sinica, Deputy Director).<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-12-16","allDay":true,"end":"2020-12-20","backgroundColor":"#ffffff"},{"title":"Joint Statistical Meetings 2021","id":"127-0","eid":"1150","url":"\/events\/node-1150","des":"
Joint Statistical Meetings 2021<\/a><\/h2>\n
Seattle, USA<\/p>\n\n
$\"\u201cJSM\"$ <\/a><\/aside>\n
JSM<\/a> Is … One of the Largest Statistical Events in the World<\/aside>\n
<\/aside>\n
JSM offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Beginning statisticians (including current students) can learn from and interact with senior members of the profession.<\/aside>","editable":false,"start":"2021-08-07","allDay":true,"end":"2021-08-13","backgroundColor":"#ffffff"},{"title":"Large-scale-spatial-data-science","id":"128-0","eid":"1151","url":"\/events\/node-1151","des":"
Large-scale-spatial-data-science<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>","editable":false,"start":"2021-05-06","allDay":true,"end":"2021-05-07","backgroundColor":"#ffffff"},{"title":"Leading Women in Business and Industrial Statistics","id":"129-0","eid":"1152","url":"\/events\/node-1152","des":"
Leading Women in Business and Industrial Statistics<\/a><\/h2>\n
<\/p>\n\n
The next in the ISBIS series \u2018Leading Women in Business and Industrial Statistics\u2019.<\/p>\n\n
Register for this event<\/a><\/p>","editable":false,"start":"2021-03-23","allDay":true,"end":"2021-03-24","backgroundColor":"#ffffff"},{"title":"Leading Women in Business and Industrial Statistics","id":"130-0","eid":"1153","url":"\/events\/node-1153","des":"
Leading Women in Business and Industrial Statistics<\/a><\/h2>\n
<\/p>\n\n
Why being a female statistician in Africa matters, and more<\/h2>\n
Next in the series\u00a0Leading Women in Business and Industrial Statistics - this time with\u00a0Sonali Das.<\/p>\n\n
\u00a0<\/p>\n\n
Register here<\/a><\/p>","editable":false,"start":"2021-05-21","allDay":true,"end":"2021-05-22","backgroundColor":"#ffffff"},{"title":"Leading Women in Business and Industrial Statistics","id":"131-0","eid":"1154","url":"\/events\/node-1154","des":"
Leading Women in Business and Industrial Statistics<\/a><\/h2>\n
Virtual<\/p>\n\n
\u00a0 $\"ISBIS\"$ <\/p>\n\n
\u00a0<\/p>\n\n
Leading Women in Business and Industrial Statistics with Christine M. Anderson-Cook<\/p>\n\n
\u00a0<\/p>\n\n
Register now<\/a><\/p>","editable":false,"start":"2021-07-06","allDay":true,"end":"2021-07-07","backgroundColor":"#ffffff"},{"title":"Linkage of multiple disparate data sources with an application to estimate COVID-19 vaccine hesitancy rates for small areas","id":"132-0","eid":"1155","url":"\/events\/node-1155","des":"
Linkage of multiple disparate data sources with an application to estimate COVID-19 vaccine hesitancy rates for small areas<\/a><\/h2>\n
Webinar<\/p>\n\n
The greater accessibility of administrative and Big Data and advances in technology are now providing new opportunities for researchers to solve a wide range of problems that would not be possible using a single data source. However, these databases are often unstructured and are available in disparate forms, making data linkages quite challenging. There is, therefore, a growing need to develop innovative statistical data linkage tools to link such complex multiple data sets. In this talk, we will focus on one important application of statistical data linkage to estimate small area proportions. We first present our general small area estimation (SAE) methodology. We then apply the proposed methodology to estimate vaccine hesitancy rates for the US states and the District of Columbia (small areas). We use data from two different surveys – one probability survey representing the entire adult US population and the other a non-probability survey representing only active adult Facebook users – and Census Bureau estimates of adult population counts at granular levels along with data from an independent COVID-19 data reporting website. The proposed SAE methodology could potentially help public policymakers target geographical areas for vaccination, public health campaigns and vaccine distribution. This talk is based on collaborative research with Professor\u2019s Lahiri doctoral student Soumojit Das.<\/p>\n\n
Speaker: Partha Lahiri<\/strong><\/p>\n\n
Register<\/a><\/p>","editable":false,"start":"2021-11-15","allDay":true,"end":"2021-11-16","backgroundColor":"#ffffff"},{"title":"LinStat 2020","id":"133-0","eid":"1156","url":"\/events\/node-1156","des":"
LinStat 2020<\/a><\/h2>\n
Novy Smokovec, High Tatras, Slovakia<\/p>\n\n
$\"$ The International Conference on Trends and Perspectives in Linear Statistical Inference, LinStat\u20192020, wants to bring together researchers sharing an interest in a variety of aspects of statistics and its applications as well as matrix analysis and its applications to statistics. The topics include estimation, prediction and testing in linear models, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments, and applications of matrix methods. To encourage young researchers to come, there are special awards for the best ones.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-06-28","allDay":true,"end":"2021-07-03","backgroundColor":"#ffffff"},{"title":"LISA 2020 Regional Symposium","id":"134-0","eid":"1157","url":"\/events\/node-1157","des":"
LISA 2020 Regional Symposium<\/a><\/h2>\n
South West Nigeria<\/p>\n\n
$\"LISA$ <\/a>
\n
\n $\"ISI\"$ <\/aside>\n\n
Theme:\u00a0 Connecting to build capacity to transform evidence into action and celebrating the International Year of Women in Statistics and Data Sccience.<\/p>\n\n
Hosted by: EDM-LISA, Obafemi Awolowo University, ILE-IFE, Nigeria<\/p>\n\n
Venue: EDM Faculty Board Hall<\/p>\n\n
Download\u00a0the Lisa 2020 flyer<\/a>.<\/p>\n","editable":false,"start":"2020-12-08","allDay":true,"end":"2020-12-10","backgroundColor":"#ffffff"},{"title":"Making inferences from non-probability samples through data integration","id":"135-0","eid":"1158","url":"\/events\/node-1158","des":"
Making inferences from non-probability samples through data integration<\/a><\/h2>\n
IASS - Webinar<\/p>\n\n
26 January 2022 at 2:00 PM CET<\/strong> (please check you own time zone<\/a>)<\/p>\n\n
For several decades, national statistical agencies around the world have been using probability surveys as their preferred tool to meet information needs about a population of interest. In the last few years, there has been a wind of change and other data sources are being increasingly explored. Five key factors are behind this trend: the decline in response rates in probability surveys, the high cost of data collection, the increased burden on respondents, the desire for access to \u201creal-time\u201d statistics, and the proliferation of non-probability data sources. In this presentation, I review some data integration approaches that take advantage of both probability and non-probability data sources such as the dual frame weighting, calibration, statistical matching, inverse probability weighting and small area estimation. I discuss the characteristics of each approach, including their benefits and limitations, and present a few empirical results.<\/p>\n\n
Speaker:\u00a0Jean-Fran\u00e7ois Beaumont<\/strong><\/p>\n\n
Register for free<\/a><\/p>\n","editable":false,"start":"2022-01-26","allDay":true,"eventDurationEditable":false,"backgroundColor":"#ffffff"},{"title":"Methodology for a Household Based COVID-19 Testing Survey in Para\u00edba State \u2013 Brazil","id":"136-0","eid":"1159","url":"\/events\/node-1159","des":"
Methodology for a Household Based COVID-19 Testing Survey in Para\u00edba State \u2013 Brazil<\/a><\/h2>\n
<\/p>\n\n
In a partnership of the Observatory of Respiratory Syndromes of the Federal University of Para\u00edba, the Para\u00edba State Government and SCIENCE, the epidemiological survey \u201cContinuar Cuidando PB&, a household-based sample survey conducted in November and December 2020, collected sociodemographic and symptoms data together with testing of residents for the diagnosis of COVID-19. The total sample of 394 census enumeration areas (CEAs) was stratified into four macro-regions of the state and subdivided within these strata for collection over eight weeks, with equal collection load per week in each stratum. In each selected CEA, a concurrent household listing and sampling protocol was applied using a combination of Bernoulli plus inverse sampling. Listing and sampling of new households stopped when the number of residents tested with the RT-PCR test in interviewed households totaled 25 or more. When a household was sampled and agreed to participate, all residents were tested, even if this meant that the total number of tested individuals in a selected CEA would go above 25. This protocol enabled speedy performance of the data collection, the release of partial results every two weeks, and strong linkage between the data obtained in the socioeconomic questionnaires with the results of the tests performed for COVID-19. Data collection was performed in partnership with teams from the municipal and state health departments, who were responsible for the application of rapid (finger blood sample) and RT-PCR tests, for the timely return of results to the tested participants, and for the provision of appropriate care services to all who tested positive for the disease. All health and safety precautions were taken to protect the team of interviewers and health professionals involved in the data collection, as well as the residents of the selected households who participated in the survey.<\/p>\n\n
Register for this webinar<\/a><\/p>","editable":false,"start":"2021-06-25","allDay":true,"end":"2021-06-26","backgroundColor":"#ffffff"},{"title":"Misuse of Statistics: Time to Speak Out","id":"137-0","eid":"1160","url":"\/events\/node-1160","des":"
Misuse of Statistics: Time to Speak Out<\/a><\/h2>\n
Webinar<\/p>\n\n
$\"$ Organized by the IAOS, in conjunction with the ISI and supported by the World Bank Trust Fund for Statistical Capacity Development, the webinar will be held from 14:00-16:00 CET<\/strong>.<\/p>\n\n
This webinar brings out the importance of Fundamental Principle 4: Prevention of misuse. This Principle states that the statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics. It features leading figures in the statistical world with direct personal experiences of applying Principle 4. There will be time for open discussion and reflection on future actions.<\/p>\n\n
Registration<\/a> is open.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-10-06","allDay":true,"end":"2020-10-07","backgroundColor":"#ffffff"},{"title":"Perspectives on the future of federal statistics","id":"138-0","eid":"1161","url":"\/events\/node-1161","des":"
Perspectives on the future of federal statistics<\/a><\/h2>\n
Webinar<\/p>\n\n
\n\t\n\t\t\n\t\t\t
$\"World$ <\/a><\/td>\n\t\t\t \n\t\t\t
\u00a0<\/p>\n\n\t\t\t
<\/p>\n\t\t\t<\/td>\n\t\t\t
\n\t\t\t
\u00a0<\/p>\n\n\t\t\t
$\"Perspectives$ <\/a><\/p>\n\t\t\t<\/td>\n\t\t<\/tr>\n\t<\/tbody>\n<\/table>\n\n
In recognition of World Statistics Day, on 20 October 2020,<\/p>\n\n
\n\t
the American Statistical Association<\/em>,<\/li>\n\t
the Caucus for Women in Statistics<\/em>,<\/li>\n\t
the Harvard Data Science Review<\/em>,<\/li>\n\t
the International Statistics Institute<\/em>,<\/li>\n\t
and International Association for Official Statistics<\/em><\/li>\n<\/ul>\n\n
are sponsoring a virtual conversation on the future of federal statistics.<\/p>\n\n
The virtual presentation will take place from 11:30 am \u2013 1:00 pm ET<\/strong><\/p>\n\n
Opening Remarks<\/h2>\n\n\n\t
Wendy Martinez<\/em>, 2020 ASA President<\/li>\n\t
Xiao-Li Meng<\/em>, Editor-in-Chief, Harvard Data Science Review<\/li>\n<\/ul>\n\n
Perspectives on the future of federal statistics<\/h2>\n\n
\n\t
Ola Awad<\/em>, President, Palestinian Central Bureau of Statistics<\/li>\n\t
Erica Goshen<\/em>, Visiting Senior Scholar at the Cornell University School of Industrial and Labor Relations and former Commissioner of the US Bureau of Labor Statistics<\/li>\n\t
Wesley Yung<\/em>, Director, Economic Analysis Division, Statistics Canada<\/li>\n<\/ul>\n\n
Panel Discussion and Q&A<\/h2>\n\n
\n\t
Ola Awad<\/em>, President, Palestinian Central Bureau of Statistics<\/li>\n\t
John Bailer<\/em>, President, International Statistics Institute<\/li>\n\t
Erica Goshen<\/em>,Visiting Senior Scholar at the Cornell University School of Industrial and Labor Relations and former Commissioner of the US Bureau of Labor Statistics<\/li>\n\t
Rob Santos<\/em>, 2020 ASA President-Elect<\/li>\n\t
Wesley Yung<\/em>, Director of Statistics Canada<\/li>\n<\/ul>\n\n
Closing Remarks<\/h2>\n\n
\n\t
John Pullinger<\/em>, President, International Association for Official Statistics<\/li>\n<\/ul>\n\n
\u00a0<\/p>\n\n
Register<\/a><\/span><\/p>\n\n
\n
\u00a0<\/p>\n","editable":false,"start":"2020-10-20","allDay":true,"end":"2020-10-21","backgroundColor":"#ffffff"},{"title":"PhilStat Forum: Katrin Hohl","id":"139-0","eid":"1162","url":"\/events\/node-1162","des":"
PhilStat Forum: Katrin Hohl<\/a><\/h2>\n
Virtual<\/p>\n\n
\u201cHave Covid-19 lockdowns led to an increase in domestic violence? Drawing inferences from police administrative data.\u201d I reflect on the challenges in measuring the impact of Covid-19 lockdowns on the volume and profile of domestic violence.<\/p>\n\n
\n
I present preliminary findings from analyses of large-scale police data that disentangle longer-term trends from the effect of the imposing and lifting of lockdown restrictions.<\/li>\n\n
I reflect on methodological challenges involved in accessing, analysing and drawing inferences from police administrative data.<\/li>\n\n<\/ol>\n\n
$\"Katrin$ <\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-06-24","allDay":true,"end":"2021-06-25","backgroundColor":"#ffffff"},{"title":"Precision medicine: A statistical perspective on estimating the best treatment strategy","id":"140-0","eid":"1163","url":"\/events\/node-1163","des":"
Precision medicine: A statistical perspective on estimating the best treatment strategy<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-28","allDay":true,"end":"2021-06-29","backgroundColor":"#ffffff"},{"title":"Quality of multisource statistics","id":"141-0","eid":"1164","url":"\/events\/node-1164","des":"
Quality of multisource statistics<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>","editable":false,"start":"2021-05-10","allDay":true,"end":"2021-05-11","backgroundColor":"#ffffff"},{"title":"Quantitative Finance and the Critical Role of Statistics and Data Science","id":"142-0","eid":"1165","url":"\/events\/node-1165","des":"
Quantitative Finance and the Critical Role of Statistics and Data Science<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"ISBIS\"$ <\/a><\/p>\n\n
The second installment of the webinar series will be presented by Professor Kathy Ensor on Friday, 22 January 2021 at 16:00 Milano time (or CET time), or 10:00 AM in New York, 20:30 in Kochi, and 9:00 AM for Prof. Ensor time in Texas. The webinar is for free and you can register here<\/a>.<\/p>\n\n
Title<\/strong>: \u201cQuantitative Finance and the Critical Role of Statistics and Data Science\u201d.<\/p>\n\n
Abstract<\/strong>: In the last three decades the world has seen dramatic changes in global financial markets. Much of this change is due to the rise of algorithmic trading. Simultaneously the world of statistics and data science has been rapidly changing. I will discuss recent statistical advances in this arena, highlighting the financial problems the statistical innovations are designed to address.<\/p>\n\n
About the Speaker: Katherine Bennett Ensor, PhD, is the Noah G. Harding Professor of Statistics<\/a> in the George R. Brown School of Engineering<\/a> at Rice University (USA) where she serves as director of the Center for Computational Finance and Economic Systems (CoFES<\/a>). She also oversees the development of the Kinder Institute Urban Data Platform<\/a>, a resource for the greater Houston area. She served as chair of the Department of Statistics from 1999 through 2013. Dr. Ensor, an expert in many areas of modern statistics, develops innovative statistical techniques to answer important questions in science, engineering and business with focus on the environment, energy and finance. She is a fellow of the American Statistical Association, a fellow of the American Association for the Advancement of Science and has been widely recognized for her leadership, scholarship and mentoring. She is President Elect<\/a> of the American Statistical Association\u2019s (ASA) Board of Directors (2021 \u2013 2022) and served as Vice President of ASA\u2019s Board of Directors from 2016-2018. She is a member of the National Academies Committee on Applied and Theoretical Statistics (CATS) and serves on the Board of Directors of the NSF Institute on Pure and Applied Mathematics (IPAM). Dr. Ensor is currently Editor of ASMBI, the research journal of ISBIS. She holds a BSE and MS in Mathematics from Arkansas State University and a PhD in Statistics from Texas A&M University.<\/p>\n\n
Organizer<\/strong>:\u00a0Fabrizio Ruggeri - fabrizio@mi.imati.cnr.it<\/p>\n\n
Register<\/a><\/p>","editable":false,"start":"2021-01-22","allDay":true,"end":"2021-01-23","backgroundColor":"#ffffff"},{"title":"Recent Advances in Info-Metrics Research","id":"143-0","eid":"1166","url":"\/events\/node-1166","des":"
Recent Advances in Info-Metrics Research<\/a><\/h2>\n
Virtual<\/p>\n\n
For details and registration<\/strong>, please visit our web page<\/a>.
\n(Please also check\u00a0the website\u00a0for regular updates)<\/p>\n\n
The workshop will focus on info-metrics in the 21st century \u2013 recent advances, open questions and directions for future research within an interdisciplinary perspective. The aims of the workshop are to provide a forum for the dissemination of new research in all areas of info-metrics (the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information) and to stimulate discussion between researchers, and students, across fields and disciplines.<\/p>\n\n
Call for Paper Submissions<\/strong>
\nFor submission instructions, see the webpage. Subject line for all submissions should be: \u201cWorkshop 2021 Submission.\u201d Submission should include at least an extended abstract (1500 \u2013 2000 words or more) or preferably a draft paper. Please do not submit any paper that has been published or is under review by another venue. Submission Deadline: Monday, January 25.<\/p>\n\n
Co-Sponsor: The Center for the Science of Information<\/p>","editable":false,"start":"2021-04-08","allDay":true,"end":"2021-04-09","backgroundColor":"#ffffff"},{"title":"Recurrent Event Analysis in R with the reReg package","id":"144-0","eid":"1167","url":"\/events\/node-1167","des":"
Recurrent Event Analysis in R with the reReg package<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-05-31","allDay":true,"end":"2021-06-01","backgroundColor":"#ffffff"},{"title":"R\u00e9nyi 100 Conference","id":"145-0","eid":"1168","url":"\/events\/node-1168","des":"
R\u00e9nyi 100 Conference<\/a><\/h2>\n
Budapest, Hungary<\/p>\n\n
Alfr\u00e9d R\u00e9nyi was born on the 20th of March 1921. To celebrate this occasion, the Alfr\u00e9d R\u00e9nyi Institute of Mathematics and the Hungarian Academy of Sciences are organizing a high-profile conference<\/a>, representing modern probability, graph theory and networks, information theory, dynamical systems, number theory and other fields in R\u00e9nyi’s spirit. That is: not respecting strictly the borders between these and possibly other areas of pure and applied mathematics.<\/p>","editable":false,"start":"2022-06-20","allDay":true,"end":"2022-06-24","backgroundColor":"#ffffff"},{"title":"Reshaping challenging data to produce insightful graphs - a quick start to using R tidyverse tools","id":"146-0","eid":"1169","url":"\/events\/node-1169","des":"
Reshaping challenging data to produce insightful graphs - a quick start to using R tidyverse tools<\/a><\/h2>\n
<\/p>\n\n
Read more information about this short course\u00a0 here<\/a>.<\/p>\n\n
Register<\/a>\u00a0for this event.<\/p>","editable":false,"start":"2021-06-04","allDay":true,"end":"2021-06-05","backgroundColor":"#ffffff"},{"title":"RSS International conference","id":"147-0","eid":"1170","url":"\/events\/node-1170","des":"
RSS International conference<\/a><\/h2>\n
Manchester<\/p>\n\n
$\"RSS$ <\/p>\n\n
The RSS International Conference regularly attracts more than 600 attendees from over 40 countries providing one of the best opportunities for anyone interested in statistics and data science to come together to share knowledge and network.<\/p>\n\n
In 2021 the conference programme will feature top keynote speakers, invited topic sessions, professional development workshops, contributed and rapid-fire talks, and poster presentations, as well as many opportunities for networking.
\n
\nConfirmed keynote speakers include Hadley Wickham, Melinda Mills and Eric Tchetgen.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-09-06","allDay":true,"end":"2021-09-10","backgroundColor":"#ffffff"},{"title":"S\u00e3o Paulo Advanced Science on Singular Stochastic Partial Differential Equations and their Applications","id":"148-0","eid":"1171","url":"\/events\/node-1171","des":"
S\u00e3o Paulo Advanced Science on Singular Stochastic Partial Differential Equations and their Applications<\/a><\/h2>\n
Campinas, Brazil<\/p>\n\n
This school, organized by Instituto de Matem\u00e1tica, Estat\u00edstica e Computa\u00e7\u00e3o Cient\u00edfica \u2013 IMECC\/UNICAMP, is divided into two parts. In the first week there will be two introductory mini-courses that lay the foundations for the courses of the second week. In the latter ones, newly developed theories and their latest developments will be taught. To round up the program there will be further invited talks, poster sessions and a visit to the LNLS laboratories, the synchrotron light laboratories at Campinas. The school is financially supported by FAPESP.<\/p>\n\n
Website<\/a>.<\/p>","editable":false,"start":"2022-08-02","allDay":true,"end":"2022-08-14","backgroundColor":"#ffffff"},{"title":"Spatial Statistical Learning","id":"149-0","eid":"1172","url":"\/events\/node-1172","des":"
Spatial Statistical Learning<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-01","allDay":true,"end":"2021-06-04","backgroundColor":"#ffffff"},{"title":"SPE 2021","id":"150-0","eid":"1173","url":"\/events\/node-1173","des":"
SPE 2021<\/a><\/h2>\n
\u00c9vora, Portugal<\/p>\n\n
<\/h2>\n
SPE 2021: XXV Congress of the Portuguese Statistical Society (SPE)<\/h2>\n
If you work on a data-driven field, then this is your Meeting!<\/p>\n\n
Our Congresses are the main forum of discussion of SPE; it is where we break new ground, brainstorm, meet, and network with Statisticians and other Data-driven professionals from Universities, Research Institutes and Laboratories, Industry, Government, Official Statistics, Regulators and Stakeholders. At this time, we will be celebrating the fact that SPE is entering a new cycle\u2014after its 40th anniversary. Plenary speakers include Genevera Allen, Anthony Davison, Ant\u00f3nio Pacheco Pires, and Maurizio Sanarico.<\/p>\n\n
Due to COVID-19, this year the meeting will be hosted on-line; otherwise, we would have met in \u00c9vora\u2014a charming and historical city that is a UNESCO world heritage site.<\/p>\n\n
Website<\/a><\/p>\n\n
Deadline for abstract submissions: June 1, 2021<\/strong><\/p>\n\n
Come and join us on-line at the XXV Congress of SPE\u00a0- we look forward to e-meet you.<\/p>\n\n
Miguel de Carvalho
\nPresident of the Portuguese Statistical Society<\/p>","editable":false,"start":"2021-10-13","allDay":true,"end":"2021-10-17","backgroundColor":"#ffffff"},{"title":"Special Celebration Event for the 200th Anniversary of Florence Nightingale\u2019s Birthday","id":"151-0","eid":"1174","url":"\/events\/node-1174","des":"
Special Celebration Event for the 200th Anniversary of Florence Nightingale\u2019s Birthday<\/a><\/h2>\n
Virtual<\/p>\n\n
November 18th Lunch (or whatever meal it is where you are) and Learn at 12 pm ET<\/p>\n\n
<\/a><\/p>\n\n
CWS presents our Special Keynote Speaker, Dr. Noel-Ann Bradshaw<\/strong> \u2013 Florence Nightingale: how she used, managed, and explained data to save lives.<\/p>\n\n
Register here<\/a>.<\/p>","editable":false,"start":"2020-11-18","allDay":true,"end":"2020-11-19","backgroundColor":"#ffffff"},{"title":"Statistical Disclosure Control: Past, Present and Future","id":"152-0","eid":"1175","url":"\/events\/node-1175","des":"
Statistical Disclosure Control: Past, Present and Future<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-10","allDay":true,"end":"2021-06-12","backgroundColor":"#ffffff"},{"title":"Statistical Education in Russia: Data Mining","id":"153-0","eid":"1176","url":"\/events\/node-1176","des":"
Statistical Education in Russia: Data Mining<\/a><\/h2>\n
Orenburg, Russia<\/p>\n\n
Planned for in-person format in Orenburg, Russia.<\/p>\n\n
This conference will be held in Russian and English, with translation available.<\/p>","editable":false,"start":"2023-10-23","allDay":true,"end":"2023-10-29","backgroundColor":"#ffffff"},{"title":"Statistical Theory of Deep Learning","id":"154-0","eid":"1177","url":"\/events\/node-1177","des":"
Statistical Theory of Deep Learning<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-07","allDay":true,"end":"2021-06-10","backgroundColor":"#ffffff"},{"title":"Statistics in the Big Data Era","id":"155-0","eid":"1178","url":"\/events\/node-1178","des":"
Statistics in the Big Data Era<\/a><\/h2>\n
Berkeley, USA<\/p>\n\n
This conference is focused on the changing role and nature of the discipline of statistics in the time of a data deluge in many applications, and increasing success of artificial intelligence at performing many data analysis tasks. The conference aims to bring together experts in statistical methodology and theory for complex and big data with researchers focused on a range of applications, from genomics to social networks, and to provide opportunities for new researchers to learn about both emerging methods and applications.<\/p>\n\n
The conference will also be an occasion to celebrate Professor Peter Bickel\u2019s 80th birthday. Peter has spent his long and distinguished career at the Department of Statistics at UC Berkeley, throughout which he remained committed to developing theory and methods that shed light on relevant applications, a goal more relevant than ever in the age of big data.<\/p>\n\n
If you require accommodation for communication, information about mobility access, or have dietary restrictions, please contact our Access Coordinator<\/a> with as much advance notice as possible.<\/p>","editable":false,"start":"2021-06-02","allDay":true,"end":"2021-06-05","backgroundColor":"#ffffff"},{"title":"Summer School on Survey Statistics 2021","id":"156-0","eid":"1179","url":"\/events\/node-1179","des":"
Summer School on Survey Statistics 2021<\/a><\/h2>\n
Virtual<\/p>\n\n
The Summer School on Survey Statistics 2021 is fully virtual and offers educational sessions\u00a0<\/p>\n\n
\n
in English<\/strong> on Friday 3, 10, 17 and 24 September at 15-18 and<\/li>\n\n
sessions in Russian<\/strong> on Saturday 4, 11, 18 and 25 September (exact times TBA).<\/li>\n\n<\/ul>\n\nDetailed information can be accessed here<\/a>.<\/p>\n\n
The summer school is free of participation fee and is open for anyone interested. Registration required. Information on registration and contributed paper submission can be found on the event web site.<\/p>\n\n
The main aim of the summer school is to promote scientific and educational cooperation in survey and official statistics between statisticians interested in new trends in the area.<\/p>\n\n
Educational sessions include keynote lectures, invited lectures and contributed papers. Main topics are Data integration, Machine Learning and Small area estimation. Topics related to survey and official statistics are welcome in contributed papers.<\/p>\n\n
The summer school is organized by the Baltic-Nordic-Ukrainian (BNU) Network on Survey Statistics. Today, the network involves partners from eight countries: Belarus, Estonia, Finland, Latvia, Lithuania, Poland, Sweden and Ukraine.<\/p>\n\n
The Summer School on Survey Statistics 2021 is the 24th of the scientific or educational events organized by the network since 1997. The event is sponsored by the International Association of Survey Statisticians (IASS).<\/p>\n\n
More information of the network activities can be found here<\/a>.<\/p>","editable":false,"start":"2021-09-03","allDay":true,"end":"2021-09-26","backgroundColor":"#ffffff"},{"title":"Survey and Big data interactions (during the COVID emergency)","id":"157-0","eid":"1180","url":"\/events\/node-1180","des":"
Survey and Big data interactions (during the COVID emergency)<\/a><\/h2>\n
Virtual<\/p>\n\n
Walter Rademacher will talk about the importance of official\/public statistics for a society and Eric Rancourt will talk about how such statistics are supported by innovations in survey methods.
\n
\nDr. Walter J. Radermacher was Director General of Eurostat and Chief Statistician of the European Union from 2008 to 2016. Eric Rancourt has worked at Statistics Canada for 30 years and has occupied the role of Director General for Statistics Canada.<\/span><\/p>\n\n
Register here<\/a>.<\/p>","editable":false,"start":"2020-11-04","allDay":true,"end":"2020-11-05","backgroundColor":"#ffffff"},{"title":"Targeted or lagged walk sampling for estimation of finite-order graph parameters","id":"158-0","eid":"1181","url":"\/events\/node-1181","des":"
Targeted or lagged walk sampling for estimation of finite-order graph parameters<\/a><\/h2>\n
Virtual<\/p>\n\n
IASS webinar<\/h2>\n
Please register for the IASS Webinar here<\/a>.<\/p>\n\n
A pure random walk in a graph is a probabilistic depth-first search algorithm where, at any given time step, a move is made randomly over one of the out-edges from the current node. More generally, a walk is said to be targeted if the transition probabilities from the current node are also subject to other choices, including the possibility and manner of taking random jumps. Targeted random walk (with jumps) has applications in many fields, such as Goolge\u2019s PageRank. Uniform and degree+1 walks are two examples of targeted walks, which involve acceptance-rejection mechanisms for the proposed moves in addition. Finally, a walk is said to be lagged, if the transition probabilities depend on not only the current node but also a given number of previous nodes, such that it is not \u2018memoryless\u2019 like either pure or targeted random walks. Let individuals and contacts between them be the nodes and edges of a graph. Let y indicate whether a node belongs to a certain community, such as a group of pathogen carriers or a fraternal society. Let ? be the total number of triangles where all the three nodes belong the community, and let ?\u2019 be that of the other triangles. The larger the ratio between ? and ?\u2019 is, the higher is the transitivity among the community members compared to the overall transitivity in the graph. Until recently, sampling theory for targeted or lagged walks in graphs has only dealt with the estimation of 1st-order (node) graph parameters, such as the mean of a y-value associated with all the nodes, but not other kinds of graph parameters such as the ratio of two triangle totals above.<\/p>\n\n
This talk presents a novel approach for estimating finite-order graph parameters based on targeted or lagged walk sampling.<\/p>\n\n
Biography of Speaker<\/strong><\/p>\n\n
Li-Chun Zhang<\/strong> is Professor of Social Statistics at University of\u00a0Southampton, Senior Researcher at Statistics Norway, and Professor of\u00a0Official Statistics at University of Oslo. His research interests include finite\u00a0population sampling design and coordination, finite graph sampling,\u00a0sample survey estimation, non-response, measurement errors, small area\u00a0estimation, index number calculations, editing and imputation, register-based statistics, statistical matching, record linkage. His involvement in\u00a0research projects include the EU framework projects EURAREA, DACSEIS,\u00a0RISQ and BLUE-ETS; the ESSnet projects Small Area Estimation, Data\u00a0Integration and Quality of Multisource Statistics; the H2020-project\u00a0InGRID-2; the ESRC-projects ADRCE, NCRM-SAE.<\/p>","editable":false,"start":"2021-09-23","allDay":true,"end":"2021-09-24","backgroundColor":"#ffffff"},{"title":"Teaching Data Science","id":"159-0","eid":"1182","url":"\/events\/node-1182","des":"
Teaching Data Science<\/a><\/h2>\n
Virtual<\/p>\n\n
Read more information about this short course here<\/a>.<\/p>\n\n
Register<\/a> for this event.<\/p>","editable":false,"start":"2021-06-23","allDay":true,"end":"2021-06-24","backgroundColor":"#ffffff"},{"title":"The 16th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA 2020)","id":"160-0","eid":"1183","url":"\/events\/node-1183","des":"
The 16th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA 2020)<\/a><\/h2>\n
Virtual<\/p>\n\n
Centre for Mathematical Sciences (CMS), Universiti Tunku Abdul Rahman (UTAR) is pleased to announce that The 16th IMT-GT International Conference on Mathematics, Statistics, and Their Applications (ICMSA 2020) will be held as a virtual conference on 23 & 24 November 2020.<\/p>\n\n
This international conference is initiated by IMT-GT (Indonesia-Malaysia-Thailand Growth Triangle) consortium to promote mathematics and statistics in the region. The goal of the conference is to bring together scientist, mathematicians, statisticians, and academicians from the region of Indonesia, Malaysia, and Thailand, as well as any other region of the world, to share knowledge, expertise, and the recent development of mathematics and statistics in the form of plenary presentations and some social events.<\/p>\n\n
Important Dates<\/h2>\n
\n
Deadline for Full Paper Submission (For the paper to be published in proceedings): 15 August 2020<\/li>\n\n
Notification for Full Paper Acceptance: 30 September 2020<\/li>\n\n
Deadline for Online Registration & Payment: 15 October 2020<\/li>\n\n
ICMSA 2020: 23 & 24 November 2020<\/li>\n\n
Complimentary Virtual Workshops: 25 November 2020<\/li>\n\n<\/ul>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-11-23","allDay":true,"end":"2020-11-25","backgroundColor":"#ffffff"},{"title":"The 1st Sino-German Workshop on Reliability of Complex Systems","id":"161-0","eid":"1184","url":"\/events\/node-1184","des":"
The 1st Sino-German Workshop on Reliability of Complex Systems<\/a><\/h2>\n
<\/p>\n\n
The workshop \u201cThe 1st Sino-German Workshop on Reliability of Complex Systems\u201d (SGWRCS), organized in virtual form, will have the focus on Reliability Engineering, Risk Management, and Resilience of complex engineering systems appeared in key infrastructures and advanced manufacturing, but also covers related topics such as uncertainty quantification, sensitivity analysis, model updating, model verification and validation, design under uncertainties, etc., across different disciplinaries.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-11-05","allDay":true,"end":"2021-11-07","backgroundColor":"#ffffff"},{"title":"The 2nd Physical Symposium on Applied Statistics with R","id":"162-0","eid":"1185","url":"\/events\/node-1185","des":"
The 2nd Physical Symposium on Applied Statistics with R<\/a><\/h2>\n
<\/p>\n\n
One of the objectives of the worldwide existence of International Association for Statistical Computing (IASC) is to exchange technical knowledge through national and international contacts and meetings between statisticians, computing professionals, organizations, institutions, governments, and the general public. With this in mind, the African Members Group of IASC wishes to explore this priceless opportunity to embark on a two-day physical symposium on Applied Statistics with R Syntax.<\/p>\n\n
IASC African Members Group announces her second FREE Physical Symposium on Applied Statistics using R syntax<\/a> in Nigeria holding simultaneously in two different locations:
\nLocation I<\/strong>: Nasarawa State University, Keffi, Nigeria
\nLocation II<\/strong>: Osun State University, Osogbo, Nigeria<\/p>\n\n
Interested members of the public can register here<\/a>.<\/p>\n\n
This 2-day fully practical training aims at providing an overview of application of R programming language in Applied Statistics to cover a broad selection of key challenges in and methodologies for working with real-life dataset. Topics to be covered are extensively detailed. Real life applications with industrial illustrations would be given to enhance participants\u2019 understanding. Participants will surely acquire a working knowledge of R syntax through hands-on projects and case studies.<\/p>\n\n
With the aid of R programming software package, the training is expected to cover the following areas of Applied Statistics:<\/p>\n\n
Day I<\/strong>:
\nSummarizing dataset, Calculating relative frequencies, Tabulating factors and creating contingency tables, Testing categorical variables for independence, Calculating quantiles (and quartiles) of a dataset, Inverting a quantile, Converting data to z-scores, Testing the mean of a sample (t-test), Forming a confidence interval for a mean, Forming a confidence interval for a median, Testing a sample proportion, Forming a confidence interval for a proportion, Testing for normality, Testing for runs,<\/p>\n\n
Day II<\/strong>:
\nComparing the means of two samples, Comparing the locations of two samples non-parametrically, Testing a correlation for significance, Testing groups for equal proportions, Performing pairwise comparisons between group means, Data graphics and visualization (infographics) such as bar chart, pie chart, cumulative frequency curve (ogive), cumulative relative frequency graph, dot chart, box plot, histogram, time plot, scatter plot, plots of probability densities\/distributions, normal Q-Q plot, residual plot, etcetera.<\/p>\n\n
Facilitator\u2019s Brief Profile (Location I)<\/strong>:
\nMonday O. ADENOMON (PhD) is a Senior Lecturer, Department of Statistics, Nasarawa State University, Keffi with interest in Econometrics time series and interdisciplinary statistical Analysis.
\nHe\u2019s the Chair, IASC African Members Group. He\u2019s a fellow of the Royal Statistical Society (RSS, UK) and a fellow of the African Scientific Institute (ASI), Chartered Statistician (CStat, RSS-UK), Mentor in the LISA 2020 Networks, Coordinator, NSUK-LISA Stat Lab; Mentor, RSS-UK; Team Member, Ambitious Africa Nigeria and Founder, FOUND-LEAS-IN-NIGERIA. Member, Nigerian Statistical Association; Member ISI and IASC; Member Nigerian Mathematical Society. Highly skillful in the use of R language for statistical computing.<\/p>\n\n
Facilitator\u2019s Brief Profile (Location II)<\/strong>:
\nTimothy A. OGUNLEYE, a statistician by training, is a product of the prestigious University of Ilorin, Nigeria, specializing in Quantitative Modelling, Econometrics and Morphometrics with much interest in Biostatistics, Designs of Experiment, and Applied Statistics.
\nTim, as is proudly called, is the Executive Director of Tim-R Programming Consult, Nigeria. He\u2019s also the Secretary-General, IASC African Members Group. He\u2019s been trained by the Department of Computing of Macquarie University, Sydney, Australia, where he\u2019s certified to be R and Python Programmer in the field of Data Science. Undoubtedly, He\u2019s at least 15 years of series of rich experiences that cut across both industries and academia. He has published quite a number of academic papers both locally and internationally. An M&E expert and a tutor per excellence!<\/p>","editable":false,"start":"2021-04-07","allDay":true,"end":"2021-04-09","backgroundColor":"#ffffff"},{"title":"The 7th One World webinar","id":"163-0","eid":"1186","url":"\/events\/node-1186","des":"
The 7th One World webinar<\/a><\/h2>\n
Virtual<\/p>\n\n
The\u00a07th One World webinar, organized by YoungStatS, will be dedicated to Novel Algebraic Approaches to Maximum Likelihood Estimation. Selected young researchers active in the area of algebraic statistics will present their recent contributions on this topic.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-11-17","allDay":true,"end":"2021-11-18","backgroundColor":"#ffffff"},{"title":"The 8th Workshop on Biostatistics and Bioinformatics","id":"164-0","eid":"1187","url":"\/events\/node-1187","des":"
The 8th Workshop on Biostatistics and Bioinformatics<\/a><\/h2>\n
Atlanta, GA, USA<\/p>\n\n
Promoted by Georgia State University. Biostatistics and Bioinformatics have been playing a key and important role in statistics and other scientific research fields in recent years. The goal of this workshop is to stimulate research and to foster the interaction of researchers in Biostatistics & Bioinformatics research areas. The workshop will provide the opportunity for faculty and graduate students to meet the top researchers in a small group setting, identify important directions for future research, facilitate research collaboration.<\/p>\n\n
Short course or capacity building activity requiring support (optional): The short course \u201cBayesian adaptive design and model assisted designs\u201d will be offered as a part of the workshop program on the afternoon of Friday, May 08, 2020. The short course is a half-day (four hours) presentation taught by Dr. Jack Lee.<\/p>\n\n
website<\/a><\/p>","editable":false,"start":"2020-10-01","allDay":true,"end":"2020-10-02","backgroundColor":"#ffffff"},{"title":"The Social Structure of Financial Network","id":"165-0","eid":"1189","url":"\/events\/node-1189","des":"
The Social Structure of Financial Network<\/a><\/h2>\n
Virtual<\/p>\n\n
ISBIS<\/strong> is pleased to announce the inaugural webinar in the series by leading women working in business and industrial statistics:<\/p>\n\n
Start Time: 4:00 pm
\nEnd Time: 5:00 pm
\nTime Zone: (GMT+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
\nPlease, check your own time zone<\/a>.<\/p>\n\n
Panelists<\/strong>:<\/p>\n\n
Antonietta Mira - antonietta.mira@usi.ch
\nUniversity of the Italian Switzerland, Switzerland, and University of Insubria, Italy<\/p>\n\n
Federica Bianchi - federica.bianchi@usi.ch
\nUniversity of Glasgow, UK<\/p>\n\n
Abstract<\/strong><\/p>\n\n
Financial markets can be considered as networks where nodes are financial institutions and edges are cash flows connecting those institutions. We study the temporal evolution of dyadic relationships in the European interbank market, as induced by monetary transactions registered in the electronic market for interbank deposits (e- MID) during a period of 10 years (2006\u20132015). In particular, we keep track of how reciprocal exchange patterns have varied with macro events and exogenous shocks and with the emergence of the Global Financial Crisis in 2008. The approach adopted extends the model of Holland and Leinhardt (JASA, 1981) to a longitudinal setting where individuals\u2019 temporal trajectories for the tendency to connect and reciprocate transactions are explicitly modelled through splines or polynomials, and individual-specific parameters. We estimate the model by an iterative algorithm that maximizes the log-likelihood for every ordered pair of units. The empirical application shows that the methodology proposed may be applied to large networks and represents the process of exchange at a fine-grained level.<\/p>\n\n
Although the webinar is free for all, registration is required.<\/p>\n\n
Register here<\/a>.<\/p>","editable":false,"start":"2020-12-01","allDay":true,"end":"2020-12-02","backgroundColor":"#ffffff"},{"title":"The Statistics Wars and Their Casualties","id":"166-0","eid":"1190","url":"\/events\/node-1190","des":"
The Statistics Wars and Their Casualties<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"The$ <\/p>\n\n
Stephen Senn<\/strong>:\u00a0Many critics of randomisation have assumed that it is supposed to guarantee balance of prognostic factors, proceeded to show that this is impossible and then concluded that the theory is flawed. However, the shocking truth about randomisation is exactly the opposite of what they suppose. If we knew that all prognostic factors in a randomised clinical trial were balanced, the standard analysis of such trials would be wrong. The analysis that Fisher proposed for randomised experiments makes an allowance for factors being unbalanced. I shall show how this fundamental misunderstanding of how the randomisation and analysis combination deals with error is the origin of a serious error in interpreting trials. I shall illustrate the points with a game of chance and an actual trial. I conclude by recommending that would-be commentators should not presume to analyse the logic of trials until they have analysed some results.<\/p>\n\n
Mor information can be found on this website<\/a>.<\/p>","editable":false,"start":"2020-11-19","allDay":true,"end":"2020-11-20","backgroundColor":"#ffffff"},{"title":"The Statistics Wars and Their Casualties","id":"167-0","eid":"1191","url":"\/events\/node-1191","des":"
The Statistics Wars and Their Casualties<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"The$ <\/p>\n\n
Website<\/a><\/p>\n\n
Time:\u00a0
\n16:00 \u2013 17:30 (London time);
\n11 am-12:30 pm (New York, ET)
\n Check you own time zone<\/a>.<\/p>\n\n
Deborah G. Mayo (Virginia Tech): Putting the Brakes on the Breakthrough, or \u201cHow I used simple logic to uncover a flaw in a controversial 60-year old \u2018theorem\u2019 in statistical foundations\u201d<\/p>\n\n
ABSTRACT: An essential component of inference based on familiar frequentist (error statistical) notions p-values, statistical significance and confidence levels, is the relevant sampling distribution (hence the term sampling theory). This results in violations of a principle known as the strong likelihood principle (SLP), or just the likelihood principle (LP), which says, in effect, that outcomes other than those observed are irrelevant for inferences within a statistical model. Now Allan Birnbaum was a frequentist (error statistician), but he found himself in a predicament: He seemed to have shown that the LP follows from uncontroversial frequentist principles! Bayesians, such as Savage, heralded his result as a \u201cbreakthrough in statistics\u201d! But there\u2019s a flaw in the \u201cproof\u201d, and that\u2019s what I aim to show in my presentation by means of 3 simple examples:.<\/p>\n\n
Example 1: Trying and Trying Again
\nExample 2: Two instruments with different precisions
\n(you shouldn\u2019t get credit\/blame for something you didn\u2019t do)
\nThe Breakthrough: Don\u2019t Birnbaumize that data my friend
\nAs in the last 9 years, I will post an imaginary dialogue with Allan Birnbaum at the stroke of midnight, New Year\u2019s Eve, and this will be relevant for the talk.<\/p>\n\n
Deborah G. Mayo is professor emerita in the Department of Philosophy at Virginia Tech. Her Error and the Growth of Experimental Knowledge won the 1998 Lakatos Prize in philosophy of science. She is a research associate at the London School of Economics: Centre for the Philosophy of Natural and Social Science (CPNSS). She co-edited (with A. Spanos) Error and Inference (2010, CUP). Her most recent book is Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars (2018, CUP). She founded the Fund for Experimental Reasoning, Reliability and the Objectivity and Rationality of Science (E.R.R.O.R Fund) which sponsored a 2 week summer seminar<\/a> in Philosophy of Statistics in 2019 for 15 faculty in philosophy, psychology, statistics, law and computer science (co-directed with A. Spanos). She publishes widely in philosophy of science, statistics, and philosophy of experiment. She blogs at errorstatistics.com<\/a> and phil-stat-wars.com<\/a>.<\/p>\n\n
\u00a0<\/p>","editable":false,"start":"2021-01-07","allDay":true,"end":"2021-01-08","backgroundColor":"#ffffff"},{"title":"The Statistics Wars and Their Casualties Workshop","id":"168-0","eid":"1192","url":"\/events\/node-1192","des":"
The Statistics Wars and Their Casualties Workshop<\/a><\/h2>\n
London School of Economics (CPNSS)<\/p>\n\n
$\"$ <\/p>\n\n
While the field of statistics has a long history of passionate foundational controversy the last decade has, in many ways, been the most dramatic. Misuses of statistics, biasing selection effects, and high powered methods of Big-Data analysis, have helped to make it easy to find impressive-looking but spurious, results that fail to replicate. As the crisis of replication has spread beyond psychology and social sciences to biomedicine, genomics and other fields, people are getting serious about reforms.\u00a0 Many are welcome (preregistration, transparency about data, eschewing mechanical uses of statistics); some are quite radical.
\n
\nThe experts do not agree on how to restore scientific integrity, and these disagreements reflect philosophical battles\u2013old and new\u2013 about the nature of inductive-statistical inference and the roles of probability in statistical inference and modeling. These philosophical issues simmer below the surface in competing views about the causes of problems and potential remedies. If statistical consumers are unaware of assumptions behind rival evidence-policy reforms, they cannot scrutinize the consequences that affect them (in personalized medicine, psychology, law, and so on).
\n
\nCritically reflecting on proposed reforms and changing standards requires insights from statisticians, philosophers of science, psychologists, journal editors, economists and practitioners from across the natural and social sciences. This workshop will bring together these interdisciplinary insights\u2013from speakers as well as attendees.
\n
\nSpeakers:<\/p>\n\n
\n\t
Yoav Benjamini,<\/li>\n\t
Alexander Bird,<\/li>\n\t
Mark Burgman,<\/li>\n\t
Daniele Fanelli,<\/li>\n\t
Roman Frigg,<\/li>\n\t
Stephpen Guettinger,<\/li>\n\t
David Hand,<\/li>\n\t
Margherita Harris,<\/li>\n\t
Christian Hennig,<\/li>\n\t
Katrin Hohl,<\/li>\n\t
Dani\u00ebl Lakens,<\/li>\n\t
Deborah Mayo,<\/li>\n\t
Richard Morey,<\/li>\n\t
Stephen Senn,<\/li>\n\t
Jon Williamson<\/li>\n<\/ul>\n","editable":false,"start":"2022-04-04","allDay":true,"end":"2022-04-06","backgroundColor":"#ffffff"},{"title":"The use of Administrative Data to Produce the First Wave of Italian Permanent Census Estimates","id":"169-0","eid":"1193","url":"\/events\/node-1193","des":"
The use of Administrative Data to Produce the First Wave of Italian Permanent Census Estimates<\/a><\/h2>\n
<\/p>\n\n
All are invited to this webinar, organised by the International Association for Survey Statisticians.<\/p>\n\n
In 2016 Istat (Italian National Statistical Institute) launched a modernization programme in which the Registers Integrated System (RIS) became the backbone of the data production process. Starting from 2018, the Istat, like other countries (ONS, 2016), launched the Permanent Census, a new census system, aimed at integrating administrative data and data coming from sample surveys to obtain the counts of the usual resident population at a reference date, cleating Census counts of coverage errors affecting the register. A Lincoln-Petersen estimator is used after adjusting for people erroneously included in the register (overcoverage) or missed by the registers (undercoverage) on the basis of record linkage procedures and an evaluation of the not response errors which affect the surveys by means of the administrative signals of work and school enrolment (signs of administrative lives).<\/p>\n\n
Biographies of the speakers<\/h2>\n
\n
\n
Nicoletta Cibella<\/strong> is a statistician and has worked for Istat since 2002. After working for many years in the methodological division, she is now in the Census Department of statistical production, Demographic and Census Population Statistics Direction. She is in charge of the project \u2018Innovative criteria and tools for the optimization of census population calculation strategies\u2019 (from 2018). Research fields: record linkage techniques, capture\/recapture models, undercoverage estimation, non-sampling errors. <\/p>\n\n<\/li>\n\n
\n
Angela Chieppa<\/strong> is a researcher at Istat since 1998, focusing on issues related to informative systems, statistical methods useful for processing Census data and for assessing quality of Census results. She is the supervisor of the workgroup responsible for the design and implementation of the informative system to process data coming from administrative sources, statistical registers and census surveys as to produce final Census results suitable for dissemination through web-warehouses. She is also in charge of data mining and knowledge discovery activities to define relevant patterns in administrative data and statistical registers, useful to improve estimation of Census results.<\/p>\n\n<\/li>\n\n<\/ul>\n\n
<\/p>\n\n
Time: 11 AM - 12:30 PM CET (please check your own time zone<\/a>)<\/p>\n\n
Register for this event<\/a><\/p>\n\n
After registering, you will receive a confirmation email containing information about joining the webinar.<\/p>\n\n
The moderator for the webinar will be James Chipperfield (IASS, Vice President). There will be time for questions. The webinar will be recorded and made available on the IASS web site and in the ISI webinars library<\/a>.<\/p>","editable":false,"start":"2021-03-25","allDay":true,"end":"2021-03-26","backgroundColor":"#ffffff"},{"title":"The weight sharing method and its applications (Francophone)","id":"170-0","eid":"1194","url":"\/events\/node-1194","des":"
The weight sharing method and its applications (Francophone)<\/a><\/h2>\n
Virtual<\/p>\n\n
Title:\u00a0The weight sharing method and its applications<\/strong><\/p>\n\n
More information<\/a> (French)<\/p>\n\n
Time: 2 PM - 3 PM CET
\nCheck your own time zone here<\/a>.<\/p>\n\n
\u00a0<\/p>\n\n
Register here<\/a>.<\/p>","editable":false,"start":"2021-02-26","allDay":true,"end":"2021-02-27","backgroundColor":"#ffffff"},{"title":"Theory and Practice of Adaptive Survey Design at Statistics Netherlands","id":"171-0","eid":"1195","url":"\/events\/node-1195","des":"
Theory and Practice of Adaptive Survey Design at Statistics Netherlands<\/a><\/h2>\n
Virtual Webinar<\/p>\n\n
Speakers:\u00a0<\/p>\n\n
\n
Kees van Berkel<\/li>\n\n
Barry Schouten<\/li>\n\n<\/ul>\n\n
Adaptive survey designs aim to get a better balanced response by putting different effort in different groups of the population. They are effective in improving survey results and reducing survey costs. Over the last decade, a lot of methodological research has been done on this topic.\u00a0In this webinar, an overview of research on adaptive survey design will be presented. After that, the implementation of adaptive survey design is demonstrated at the hand of the Dutch Health survey. In this survey a sequential mixed mode strategy CAWI followed by CAPI is applied. The feature to adapt is the CAPI follow-up. The design is developed in such a way that through stratified selection of internet nonrespondents for face to face follow-up, nonresponse bias can potentially be reduced.\u00a0Mode-specific measurement errors which likely exist in many surveys, especially in the Health survey, have not received much attention in adaptive survey design. In order to separate and quantify mode-specific measurement effects and selection effects, an experiment with re-interviews is planned for the Health survey. The sampling and questionnaire design including analysis possibilities are discussed in the webinar.<\/p>\n\n
Register for free<\/a><\/p>","editable":false,"start":"2021-10-28","allDay":true,"end":"2021-10-29","backgroundColor":"#ffffff"},{"title":"TIES 2020 Virtual Conference","id":"172-0","eid":"1196","url":"\/events\/node-1196","des":"
TIES 2020 Virtual Conference<\/a><\/h2>\n
Virtual<\/p>\n\n
Frontiers in Statistics, Epidemiology and the Environment<\/strong>
\nThe virtual conference<\/a> of The International Environmetrics Society (TIES) will be held from 2-4 December 2020. Its aim of the conference is to provide a networking opportunity for specialists in statistics, epidemiology and environmental sciences and demonstrate the value of cross-disciplinary research in order to solve the most pressing problems of our society.<\/p>","editable":false,"start":"2020-12-02","allDay":true,"end":"2020-12-05","backgroundColor":"#ffffff"},{"title":"Towards big data mining in Industry 4.0: quality modeling and monitoring in additive manufacturing","id":"173-0","eid":"1197","url":"\/events\/node-1197","des":"
Towards big data mining in Industry 4.0: quality modeling and monitoring in additive manufacturing<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ <\/p>\n\n
The next in the ISBIS series \u2018Leading Women in Business and Industrial Statistics\u2019.<\/p>\n\n
Panelist:\u00a0Bianca Maria Colosimo<\/p>\n\n
Register for this event<\/a><\/p>","editable":false,"start":"2021-04-21","allDay":true,"end":"2021-04-22","backgroundColor":"#ffffff"},{"title":"UN AIS Hackathon","id":"174-0","eid":"1198","url":"\/events\/node-1198","des":"
UN AIS Hackathon<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/p>\n\n
The United Nations Statistics Division (UNCTAD) and UN Global Pulse are jointly organizing a virtual Hackathon using Automated Information Systems (AIS) vessel tracking data. The event’s goal is to quickly utilize this data to support official statistics in monitoring the social and economic impact of COVID-19 and to assist the world in its fight against climate change by generating a surge of creative researchers to come up with equally creative ways to use the data!<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-09-03","allDay":true,"end":"2020-09-07","backgroundColor":"#ffffff"},{"title":"UN World Data Forum","id":"175-0","eid":"1199","url":"\/events\/node-1199","des":"
UN World Data Forum<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ Despite the uncertainty we all faced this year, the High-level Group for Partnership, Coordination and Capacity-Building for Statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB) and the Programme Committee were determined to hold a UN World Data Forum. We are pleased this will take place, albeit virtually, from 19 to 21 October 2020 with a great programme prepared. We are also grateful to the Swiss Confederation for their determination to host the traditional physical meeting of the Forum now scheduled for 3\u20136 October 2021.<\/p>\n\n
Considering the impact and discussions on data taking place in the midst of the global Covid-19 pandemic, we feel the virtual Forum is an opportune time to communicate the most urgent themes on data to the to our key constituents especially to other colleagues and analytical communities within Government.<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2020-10-19","allDay":true,"end":"2020-10-22","backgroundColor":"#ffffff"},{"title":"UN World Data Forum","id":"176-0","eid":"1200","url":"\/events\/node-1200","des":"
UN World Data Forum<\/a><\/h2>\n
Swiss Confederation, Switzerland<\/p>\n\n
\n
More information: <\/span>website<\/a><\/div>","editable":false,"start":"2021-10-03","allDay":true,"end":"2021-10-07","backgroundColor":"#ffffff"},{"title":"UN Youth Hackathon","id":"177-0","eid":"1201","url":"\/events\/node-1201","des":"
UN Youth Hackathon<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ <\/p>\n\n
Over the last years, the world has been forced to rethink, redesign and innovate new ways of creating a shared sustainable future.<\/p>\n\n
This year, together with the United Nations Statistics Division<\/strong>, and the global platform regional hubs of Rwanda, UAE, Brazil & China, MGCY is organizing a virtual UN Youth Hackathon<\/strong> to create solutions to some of the world\u2019s toughest problems using data.<\/p>\n\n
During this hackathon, the UNSD, regional hubs and partner organizations will be on the lookout for disruptive and innovative solutions that use data, machine learning and artificial intelligence to fast track progress towards the UN Sustainable Development Goals (SDGs).<\/p>\n\n
We are looking for enthusiastic data people - students and professionals in the broad field of AI, Deep Learning and Data Science. There are no strong requirements other than the strong interest in contributing to the UN SDGs.<\/p>\n\n
You can only register as a team of 3 to 5 people, either as all-students or all-professionals - no individual registration will be taken into account. The registration form should be filled out as a team using this link.<\/a><\/p>\n\n
The deadline for registration is November 6th.<\/p>\n\n
A webinar will be held in mid-November for the selected teams to reveal the theme of the hackathon and give details about the logistics.<\/p>\n\n
So don\u2019t hesitate; register<\/a> to participate in this challenging event! Should you have any questions, you can reach out to us on un-youth-hackathon@unmgcy.org.<\/p>\n\n
UN Youth Hackathon Organizing Team<\/strong><\/p>","editable":false,"start":"2021-12-06","allDay":true,"end":"2021-12-09","backgroundColor":"#ffffff"},{"title":"USCOTS 2021 - Virtual Conference","id":"178-0","eid":"1202","url":"\/events\/node-1202","des":"
USCOTS 2021 - Virtual Conference<\/a><\/h2>\n
Virtual<\/p>\n\n
This conference provides a welcoming and engaging (perhaps even fun!) environment in which teachers can exchange ideas and motivate each other to improve their teaching of statistics. The conference features plenary talks, interactive breakout sessions, informative posters-and-beyond sessions, opening and closing sessions with five-minute presentations, birds-of-a-feather discussions, an awards ceremony, extensive pre-conference workshops, and exhibitor technology demonstrations.<\/p>\n\n
The USCOTS theme for 2021 is \u201cExpanding Opportunities\u201d. Sessions will explore many aspects of this theme, including strategies for increasing participation and achievement in the study of statistics for students from underrepresented groups, supporting and encouraging students and colleagues who are beginning or contemplating careers in statistics education, and leveraging the emerging discipline of data science to democratize opportunities for students from all backgrounds.<\/p>\n\n
Proposals are being accepted for pre-conference workshops, breakout sessions, poster-and-beyond contributions, and discussion sessions. Deadlines vary, with the earliest on 1 February. You can find more information about the conference and proposal submission links<\/a>.<\/p>","editable":false,"start":"2021-06-28","allDay":true,"end":"2021-07-02","backgroundColor":"#ffffff"},{"title":"Virtual Statistics Career Series for Students","id":"179-0","eid":"1203","url":"\/events\/node-1203","des":"
Virtual Statistics Career Series for Students<\/a><\/h2>\n
Virtual<\/p>\n\n
The student committee of the Western North American Region (WNAR) of the International Biometric Society is excited to announce its virtual Statistics Career Series for Students! If you are a graduate student interested in meeting leading statisticians from industry, academia, or government and personally asking them career-related questions, these events are for you! The events are open to all, including those outside the WNAR region.<\/p>\n\n
Distinguished Speaker and Q&A<\/h2>\n
Speaker: Dr. Michael Jordan, UC Berkeley<\/strong>
\nDate\/Location: Friday, 3 December 2021, 1:00 \u2013 2:00 pm PST<\/a> (4:00 \u2013 5:00 pm EST) on Zoom
\nInformation: Join us for a question-and-answer session with the legendary Dr. Michael Jordan! In 2016, Professor Jordan was named the \u201cmost influential computer scientist\u201d worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.
\n Registration<\/a><\/p>\n\n
Industry Career Panel<\/h2>\n
Panelists: Dr. Tim Hesterberg (Google), Dr. Layla Parast (RAND), and Dr. Chito Hernandez (BioMarin)<\/strong>
\nDate\/Location: Friday, 21 January 2022, 1:00 \u2013 2:00 pm PST <\/a>(4:00 \u2013 5:00 pm EST) on Zoom
\nInformation: Join us with industry statisticians from leading tech\/biostatistics companies to learn about their experiences. Participants will be able to ask questions and chat with the panelists.
\n Registration<\/a><\/p>\n\n
Academia\/Government Career Panels<\/h2>\n
Coming soon in 2022! Register<\/a> to receive updates.<\/p>\n\n
Join WNAR!<\/strong>
\nBecome a WNAR member to stay up-to-date on WNAR Student Committee events. Student membership is free.<\/p>\n\n
If you have any questions please feel free to contact nikola.surjanovic@stat.ubc.ca or jmcnicho@unb.ca.<\/p>","editable":false,"start":"2021-12-03","allDay":true,"end":"2021-12-04","backgroundColor":"#ffffff"},{"title":"WAYSA - Webinar Series 2","id":"180-0","eid":"1204","url":"\/events\/node-1204","des":"
WAYSA - Webinar Series 2<\/a><\/h2>\n
Virtual<\/p>\n\n
Topic<\/strong>:<\/p>\n\n
Algorithms Fairness: Towards Attainment of SDGs in Africa<\/h2>\nMeeting link<\/a><\/p>\n\n
Time<\/strong>:\u00a0<\/p>\n\n
\n
12:00 Nigeria Time<\/li>\n\n
13:00 CEST<\/li>\n\n
please check your own time zone here<\/a><\/li>\n\n<\/ul>\n\n
$\"$ <\/p>","editable":false,"start":"2021-05-29","allDay":true,"end":"2021-05-30","backgroundColor":"#ffffff"},{"title":"Webinar:'Tidyverse ggplot2 for Elegant Data Visualizations'","id":"181-0","eid":"1205","url":"\/events\/node-1205","des":"
Webinar:'Tidyverse ggplot2 for Elegant Data Visualizations'<\/a><\/h2>\n
Virtual<\/p>\n\n
11:00 AM in\u00a0<\/span><\/span><\/a>Eastern Time<\/a> (US and Canada)<\/span><\/p>\n\n
Registration<\/a><\/p>","editable":false,"start":"2021-11-10","allDay":true,"end":"2021-11-12","backgroundColor":"#ffffff"},{"title":"Women: Statistically Significant","id":"182-0","eid":"1206","url":"\/events\/node-1206","des":"
Women: Statistically Significant<\/a><\/h2>\n
<\/p>\n\n
Join SIS and ISI in celebrating the INTERNATIONAL YEAR OF WOMEN IN STATISTICS & DATA SCIENCE<\/strong>, launched on May 12, 2020 to commemorate the 200th anniversary of Florence Nightingale’s birthday.<\/p>\n\n
Greetings<\/h2>\n\n
\n\t
Fulvia Mecatti Co-Organizer<\/li>\n\t
Corrado Crocetta SIS President<\/li>\n\t
Jessica Utts Chair IYWSDS Committee<\/li>\n<\/ul>\n\n
Speakers<\/h2>\n\n
h 10:00\u00a0Greetings<\/strong><\/p>\n\n
h 10:10 That Special Gen(d)re of Statistics<\/strong> (Organizer & Chair: Fulvia Mecatti, Unimib)<\/p>\n\n
\n\t
Pierluigi Conti (Sapienza Univ Roma): The Lady with the lamp of Statistics<\/li>\n\t
Daniela Cocchi (Unibo): Cristina di Belgiojoso: the romantic princess who didn’t\u00a0disdain numbers<\/li>\n\t
Women in scientific societies: the y-SIS perspective: Gaia Bertarelli (Univ Sant’Anna Pisa) and Saverio Ranciati (Unibo) talk with Emanuele Aliverti (Unive, y-SIS coordinator)<\/li>\n\t
Where gender gap exists Statistical women do not fit!!: Mariangela Sciandra (UniPA), Alice Blandino (Heidelberg Univ), Angela Carollo (Max Planck Institute), Anna Rita Filippi (Unicredit) and Martina Vittorietti (Tech Univ Delft)<\/li>\n<\/ul>\n\n
h 11:00 Women & STEM: the Italian case<\/strong> (Organizer & Chair: Massimo Attanasio Unipa)<\/p>\n\n
\n\t
Dalit Contini (Unito): Gender gap in Mathematics in the Italian high schools<\/li>\n\t
Antonella D’Agostino (Uniparthenope), Giulio Ghellini (Unisi) and Gabriele Lombardi (Unisi): Gender inequalities in Italian STEM Higher Education<\/li>\n\t
Massimo Attanasio, Daniele Cuntrera and Vincenzo Falco (Unipa): Gender gap in the Italian Academia<\/li>\n<\/ul>\n\n
h 12:00 Engendered international perspective<\/strong> (Organizer & Chair: Fabrizio Ruggeri, ISI\u00a0Vice-president & Co-Chair ISI SCB, CNR IMATI) with video-recorded contributions by<\/p>\n\n
\n\t
Ada van Krimpen (The Netherlands - ISI Director)<\/li>\n\t
Delia North (South Africa)<\/li>\n\t
Atinuke Adebanji (Ghana)<\/li>\n\t
Tamanna Howlader (Bangladesh - Young ISI)<\/li>\n\t
Asifa Kamal (Pakistan)<\/li>\n\t
Reija Helenius (Finland - ISLP Director)<\/li>\n\t
Denise <\/span>Britz <\/span>do <\/span>Nascimento <\/span>Silva <\/span>(<\/span>Brazil <\/span>- I<\/span>ASS <\/span>President<\/span>)<\/span><\/li>\n\t
Irena Krizman (Slovenia - ISI SCB Co-Chair)<\/li>\n\t
Helen MacGillivray (Australia - ISI Past President)<\/li>\n<\/ul>\n\n
Download the PDF flyer<\/a>.<\/p>\n\n
JOIN FREE ON ZOOM<\/a><\/p>\n","editable":false,"start":"2021-05-12","allDay":true,"end":"2021-05-13","backgroundColor":"#ffffff"},{"title":"Workshop Advances in Statistical Methods","id":"183-0","eid":"1207","url":"\/events\/node-1207","des":"
Workshop Advances in Statistical Methods<\/a><\/h2>\n
Virtual<\/p>\n\n
Conscious of the importance of disseminating the advances in statistical methods development, the Inter American Statistical Institute (IASI),\u00a0The Colombian Statistical Society (SCE) and the School of Statistics of the National University of Colombia, Medellin Campus, have joined efforts to organize\u00a0the workshop entitled Advances in Statistical Methods. This event will be held virtually on 25 and 26 November 2021. Each of those two days, from 9.00 am to 12.00 m, three lectures will be given on the advances in statistical methods for data analysis, such as statistical learning, mixed models for longitudinal data, Bayesian statistics, industrial statistics and official statistics: analysis of official time series and multivariate data analysis of official statistics. In the afternoon,\u00a0between 14.00 and 17.30 h, there will be a session of oral presentations in which authors will share the conclusions of their research at the theoretical and applied levels, within the framework of statistical methods.<\/p>\n\n
Website<\/a><\/p>","editable":false,"start":"2021-11-25","allDay":true,"end":"2021-11-27","backgroundColor":"#ffffff"},{"title":"Workshop on Data Science for Official Statistics","id":"184-0","eid":"1208","url":"\/events\/node-1208","des":"
Workshop on Data Science for Official Statistics<\/a><\/h2>\n
Virtual<\/p>\n\n
$\"$ <\/p>\n\n
\u00a0<\/p>\n\n
On the occasion of the World Statistics Day 2020<\/strong>, the International Year of Women in Statistics and Data Science<\/strong>, and the 31st National Statistics Month<\/strong> in the Philippines, the \u00a0ISI Young Statisticians have organized \u00a0a workshop on data science for official statisticians to take place on 28-29 October 2020.<\/p>\n\n
Nowadays, a wide range of data is growing rapidly and at a quicker pace for official statistics. Due to the advancement of technologies, we are now capable of gathering datasets, often unstructured, in real time. Analyzing these datasets however can no longer be managed by traditional statistical analysis that are often still utilized by national statistics offices.<\/p>\n\n
Data science, along with these new data sources, can streamline and improve analysis of official statistics and provide richer and more novel insights that will be helpful for policymaking.<\/p>\n\n
Together with the UPLB Institute of Statistics<\/a><\/em> and the Analytical Center for Moscow City Government<\/em>, we, the ISI Young Statisticians Committee<\/a><\/strong>, invite researchers, academics, and policymakers to participate in a free two-day training workshop on Data Science for Official Statistics.<\/p>\n\n
The speaker will be none other than Dr. Elena Zarova<\/strong>, a renowned statistics professor, ChiefScientific Adviser of the Plekhanov Russian University of Economics, and the deputy head of the Analytical Center for Moscow City Government.<\/p>\n\n
\u00a0<\/p>\n\n
Please note that since we can only accommodate a few participants, max. 250, registrants with an adequate background in R programming will be given priority.<\/p>\n\n
Register<\/a><\/p>","editable":false,"start":"2020-10-28","allDay":true,"end":"2020-10-30","backgroundColor":"#ffffff"},{"title":"World Statistics Day and Celebration of International Year of Women in Statistics and Data Science","id":"185-0","eid":"1209","url":"\/events\/node-1209","des":"
World Statistics Day and Celebration of International Year of Women in Statistics and Data Science<\/a><\/h2>\n
Morogoro, Tanzania<\/p>\n\n
$\"LISA2020\"$ $\"ISI\"$ $\"Muzumbe$ $\"Sokoine$ <\/aside>\n
Dear all be informed that The Department of Mathematics and Statistics Studies of Mzumbe University in collaboration with The Department of Mathematics and Computational Sciences of Sokoine University of Agriculture where both are hosting the Interdisciplinary Statistical Laboratory mainly for statistical capacity-building, are expecting to conduct on regional events in line with the mentioned theme on 30^{th<\/sup><\/span> November, 2020 and 1^{st<\/sup><\/span> December,2020 at Mzumbe University Main Campus.\u00a0 <\/span>Along with this ceremony, two events will be conducted:<\/p>\n\n}}
\n
CELEBRATION OF INTERNATIONAL YEAR OF WOMEN IN STATISTICS AND DATA SCIENCE:\n
\n
Celebration of women statistician(s) graduated or recently graduated in higher level of studies<\/li>\n\n
Paper presentation<\/li>\n\n
Keynote speaker with speech that encourage on significant of positive attitudes towards mathematics as ladder to become
\nSTATISTICIAN AND DATA SCIENTIST
\nTime<\/strong>: 09:00 am to 15:00 pm
\nVenue<\/strong>: LT 1
\n
\n<\/li>\n\n<\/ol>\n\n<\/li>\n\n
STATISTICAL CAPACITY BUILDING
\nMULISA team in collaboration with SUALISA invite you all, the Mzumbe University academic community to participate in this noble event which will take place on 1st Decemeber, 2020. In this day two clusters of people will be given training:
\n\n
\n
Students and academic staff: Data management and analysis (descriptive and inference statistics) using SPSS and R<\/li>\n\n
Secondary School Teachers, Village executive Officers and Ward Education Officers: Training on data analysis using Excel
\nTime<\/strong>: 08:30 am to 16:00 pm
\n Venue<\/strong>: Geneva-Computer Lab
\n
\n<\/li>\n\n<\/ol>\n\n<\/li>\n\n<\/ol>\n\n
Guest of Honor: Ms. Yasinta Tabu \u2013Principal Statistician, President\u2019s Officer, Regional Administration and Local Government (Tanzania)<\/p>\n\n
For more information, please contact the following key organizing committee team:<\/p>\n\n
\n
Dr. Justine Mbukwa- MULISA Coordinator : +255752 663635<\/li>\n\n
Dr. Tukae Mbegalo- MULISA Vice Coordinator : +255719 369142<\/li>\n\n<\/ul>","editable":false,"start":"2020-12-01","allDay":true,"end":"2020-12-02","backgroundColor":"#ffffff"},{"title":"The 78th Annual Deming Conference on Applied Statistics","id":"186-0","eid":"1215","url":"\/events\/node-1215","des":"
The 78th Annual Deming Conference on Applied Statistics<\/a><\/h2>\n
Philadelphia, USA<\/p>\n\n
The 78th Annual Deming Conference on Applied Statistics will be held from Monday, December 5 to Wednesday, December 7, 2022, followed by two parallel 2-day short courses on Thursday, December 8, and Friday, December 9, 2022, at the state-of-art Sonesta Philadelphia, Rittenhouse Square (1800 Market Street Philadelphia, PA 19103). Conference facility and hotel information can be found here<\/a>.<\/p>\n\n
The purpose of the 3-day Deming Conference on Applied Statistics is to provide a learning experience on recent developments in statistical methodologies in biopharmaceutical applications. The conference is composed of twelve three-hour tutorials on current topics in applied biopharmaceutical statistics and FDA regulations, three one-hour distinguished keynotes on Monday, Tuesday, and Wednesday.<\/p>\n\n
For more information about the conference, please email Dr. Din Chen at din@demingconference.org or visit the website<\/a>.<\/p>\n","editable":false,"start":"2022-12-05","allDay":true,"end":"2022-12-10","backgroundColor":"#ffffff"},{"title":"The drastic Under-representation of African Researchers in Africa-related Research","id":"187-0","eid":"1218","url":"\/events\/node-1218","des":"
The drastic Under-representation of African Researchers in Africa-related Research<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Prof. Saralees Nadarajah<\/strong><\/p>\n\n
In an ever more connected world one would expect to see collaborative efforts in academia build bridges between nations, continents and peoples. While the internet and digitisation have broken down boundaries and significantly lowered the financial obstacles as well as delays in time that came with\u00a0international partnerships, collaborations seem to have been strengthened between industrialised nations. In this talk, I will analyse publication data of articles, notes and presentations on that reference the continent of Africa, as well as nations past or present on the continent and investigate the distribution of author affiliation within and outside the continent.<\/p>\n","editable":false,"start":"2022-03-31","allDay":true,"end":"2022-04-01","backgroundColor":"#2e2d5e"},{"title":"Writing Manuscripts for Official Statistics Journals: Guidelines for Practitioners and Researchers","id":"188-0","eid":"1221","url":"\/events\/node-1221","des":"
Writing Manuscripts for Official Statistics Journals: Guidelines for Practitioners and Researchers<\/a><\/h2>\n
Register for free<\/p>\n\n
$\"\"$ <\/p>\n\n
The workshop will be held via GoToWebinar in three separate sessions:\u00a0<\/p>\n\n
\n\t
Session 1: 8 February 2022, \u00a0 \u00a0 3.00–5.00 PM (CET)<\/li>\n\t
Session 2: 10 February 2022, \u00a0 3.00–5.00 PM (CET)<\/li>\n\t
Session 3: 15 February 2022, \u00a0 3.00–5.00 PM (CET)<\/li>\n<\/ul>\n\n
Under the auspices of the ISI, the Statistical Journal of the IAOS<\/em> (IAOS),\u00a0 The Survey Statistician<\/em> (IASS),\u00a0Journal of Official Statistics<\/em> (JOS, Statistics Sweden), Survey Methodology<\/em> (SMJ, Statistics Canada), IOS Press and Wiley are organizing a workshop comprising three separate webinars of two hours each. \u00a0<\/p>\n\n
Presenters at the workshop are the Chief Editors (or former Chief Editors) of the journals involved, as well as experienced and successful authors and representatives from the publishers.\u00a0The detailed programme can be found below.<\/p>\n\n
Target group<\/strong><\/p>\n\n
The workshop is intended for Official Statisticians and academics (from all over the world) with interest in preparing a submission of a manuscript to a refereed international journal in the field of statistics. The workshop language will be English.\u00a0<\/p>\n\n
Requirements of the participants<\/strong><\/p>\n\n
Working knowledge of the English language.
\nInvolved in the preparation or with an interest to prepare manuscripts for submission to a refereed international journal in the field of Official Statistics.
\nAccess to internet to follow the webinars. (Windows, Mac)<\/p>\n\n
Objective of the workshop <\/strong><\/p>\n\n
The objective of this workshop is to prepare Official Statisticians and researchers to draft and submit manuscripts to Official Statistics journals. The workshop focuses on manuscript drafting and structuring skills as well as on anticipating\u00a0 the knowledge level and expectations of the audiences and on organizing and preparing a manuscript for submission to a journal in the field of Official Statistics.<\/p>\n\n
Certificate of Attendance<\/strong><\/p>\n\n
After successful participation in the workshop, participants will be awarded with a Certificate of Attendance by the ISI. Successful participation is defined as having participated in at least 70% of the duration of each of the three webinars.<\/p>\n\n
Workshop Programme<\/h2>\n\nSession 1: 8 February 2022<\/strong>
\n3.00-5.00 PM (CET) - Watch the recording<\/a><\/p>\n\n
\n\t
A word of welcome by Stephen Penneck (President of the ISI)<\/li>\n\t
Introduction to the organization and content of the workshop — Pieter Everaers (SJIAOS)<\/li>\n\t
Why, how and for whom to draft a manuscript? —\u00a0Steve Raywood (Wiley)<\/li>\n\t
The overall structure of a manuscript — Wesley Yung (Statistics Canada)<\/li>\n\t
Some practical examples of types of manuscripts —\u00a0Denise Britz do Nascimento Silva (IBGE, Brazil)<\/li>\n\t
Closing of first session and introduction to exercises A and B —\u00a0Pieter Everaers (SJIAOS)\n\t
\n\t\t
Manuscripts Excercise A<\/a><\/li>\n\t<\/ul>\n\t<\/li>\n<\/ul>\n\n
Session 1 slides:\u00a0<\/p>\n\n
\n\t
2022-02-08-workshop-1.pdf<\/a><\/li>\n\t
2022-02-08-workshop-1.2.pdf<\/a><\/li>\n\t
2022-02-08-workshop-1.3.pdf<\/a><\/li>\n\t
2022-02-08-workshop-1.4.pdf<\/a><\/li>\n\t
2022-02-08-workshop-1.5.pdf<\/a><\/li>\n<\/ul>\n\n
Session 2: 10 February 2022<\/strong>
\n3.00-5.00 PM (CET) - Watch the recording<\/a>.<\/p>\n\n
\n\t
Recapitulation of Session 1 —\u00a0Ingegerd Jansson (Statistics Sweden)<\/li>\n\t
Outcomes of exercise A — Pieter Everaers (SJIAOS)\/Peter de Jong (IOS Press)\n\t
\n\t\t
Results of Excercise A<\/a><\/li>\n\t<\/ul>\n\t<\/li>\n\t
Outcomes and reflection on exercise B —\u00a0Wesley Yung (Statistics Canada)<\/li>\n\t
How to restrict to the necessary — Denise Britz do Nascimento Silva (IBGE, Brazil)<\/li>\n\t
Working efficiently in structuring and drafting —\u00a0Steve MacFeely \u00a0(WHO)<\/li>\n\t
Closing of the second session and introduction to exercise C —\u00a0Ingegerd Jansson (Statistics Sweden)<\/li>\n<\/ul>\n\n
Session 2 slides:\u00a0<\/p>\n\n
\n\t
2022-02-10-workshop-2.1.pdf<\/a><\/li>\n\t
2022-02-10-workshop-2.2.pdf<\/a><\/li>\n\t
2022-02-10-workshop-2.3.pdf<\/a><\/li>\n\t
2022-02-10-workshop-2.4.pdf<\/a><\/li>\n\t
2022-02-10-workshop-2.5.pdf<\/a><\/li>\n\t
2022-02-10-workshop-2.6.pdf<\/a><\/li>\n<\/ul>\n\n
Session 3: 15 February 2022<\/strong>
\n3.00-5.00 PM (CET) - Watch the recording<\/a>.<\/p>\n\n
\n\t
Recapitulation of the second session — Wesley Yung (Statistics Canada)<\/li>\n\t
Typical structure of a manuscript — Steve Raywood (Wiley)<\/li>\n\t
Submission, review and revision from the content perspective —\u00a0Ingegerd Jansson (Statistics Sweden)\/Pieter Everaers (SJIAOS)<\/li>\n\t
Submission, review and revision from the technical perspective —\u00a0Kim Willems (IOS Press)\/Steve Raywood (Wiley)<\/li>\n\t
Young Statisticians Awards — Gemma van Halderen (ABS, Australia)<\/li>\n\t
Closing of the third session and the workshop —\u00a0Wesley Yung (Statistics Canada)\/Pieter Everaers (SJIAOS)<\/li>\n<\/ul>\n\n
Session 3 slides:<\/p>\n\n
\n\t
2022-02-15-workshop-3.1.pdf<\/a><\/li>\n\t
2022-02-15-workshop-3.2.pdf<\/a><\/li>\n\t
2022-02-15-workshop-3.3.pdf<\/a><\/li>\n\t
2022-02-15-workshop-3.4.pdf<\/a><\/li>\n\t
2022-02-15-workshop-3.5.pdf<\/a><\/li>\n\t
2022-02-15-workshop-3.6.pdf<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2022-02-08","allDay":true,"end":"2022-02-16","backgroundColor":"#ffffff"},{"title":"The 2022 International Conference of Computational Statistics and Data Engineering","id":"189-0","eid":"1224","url":"\/events\/node-1224","des":"
The 2022 International Conference of Computational Statistics and Data Engineering<\/a><\/h2>\n
London, UK<\/p>\n\n
The 29th World Congress on Engineering (WCE 2022) is organized\u00a0by International Association of Engineers (IAENG),\u00a0a non-profit international association for the engineers and the computer\u00a0scientists.<\/p>\n","editable":false,"start":"2022-07-06","allDay":true,"end":"2022-07-09","backgroundColor":"#ffffff"},{"title":"Royal Statistical Society 2022 International Conference","id":"190-0","eid":"1258","url":"\/events\/node-1258","des":"
Royal Statistical Society 2022 International Conference<\/a><\/h2>\n
Aberdeen, Scotland<\/p>\n\n
$\"\"$ <\/p>\n\n
The RSS International Conference regularly attracts more than 500 attendees from over 30 countries providing one of the best opportunities for anyone interested in statistics and data science to come together to share knowledge and network.<\/p>\n\n
As usual, the conference programme will feature top keynote speakers, invited topic sessions, professional development workshops, contributed and rapid-fire talks, and poster presentations, as well as many opportunities for networking.<\/p>\n","editable":false,"start":"2022-09-12","allDay":true,"end":"2022-09-16","backgroundColor":"#ffffff"},{"title":"CWS \u2018It\u2019s Happy Hour Somewhere with Madam Presidents\u2019 event","id":"191-0","eid":"1259","url":"\/events\/node-1259","des":"
CWS \u2018It\u2019s Happy Hour Somewhere with Madam Presidents\u2019 event<\/a><\/h2>\n
<\/p>\n\n
The event is sponsored by former CWS Past Presidents and takes place on the fourth Thursday each month from 3-4 pm ET.<\/p>\n\n
The happy hour for January is scheduled for 27 January, 3-4pm ET.\u00a0 (check your own timezone here<\/a><\/strong>)<\/p>\n\n
Here is the Zoom information<\/strong>:<\/p>\n\n
Join Zoom Meeting<\/a><\/p>\n\n
Meeting ID: 854 6174 9538
\nPasscode: 408287<\/p>\n","editable":false,"start":"2022-01-27","allDay":true,"end":"2022-01-28","backgroundColor":"#ffffff"},{"title":"IASS Webinar 16: Three-Form Split Questionnaire Design for Panel Surveys","id":"192-0","eid":"1260","url":"\/events\/node-1260","des":"
IASS Webinar 16: Three-Form Split Questionnaire Design for Panel Surveys<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Paul Imbriano<\/strong><\/p>\n\n
Longitudinal or panel surveys are effective tools for measuring individual level changes in the outcome variables and their correlates. \u00a0One drawback of these studies is dropout or non-response, potentially leading to biased results. One potential reason for dropout is the burden placed on subjects for repeatedly responding to long questionnaires. Advancements in survey administration methodology and multiple imputation software make it possible for planned missing data designs to be implemented for improving the data quality through a reduction in survey length. Many papers have discussed implementing a planned missing data study using a split questionnaire design in the cross-sectional setting, but development of these designs in a longitudinal study has been fairly limited. We propose several methods for implementing split questionnaire designs in the longitudinal setting. Using both simulations and data from a longitudinal study, we compare the performance of these methods. The results suggest that the optimal design depends on both the data structure and estimate of interest. These factors should be taken into account when designing a longitudinal study with planned missing data.<\/p>\n","editable":false,"start":"2022-04-27","allDay":true,"end":"2022-04-28","backgroundColor":"#333333"},{"title":"Computational and Applied Statistics (CAS 2022)","id":"193-0","eid":"1261","url":"\/events\/node-1261","des":"
Computational and Applied Statistics (CAS 2022)<\/a><\/h2>\n
Malaga, Spain<\/p>\n\n
$\"\"$ <\/p>\n\n
Computational and Applied Statistics (CAS 2022) is a Workshop of the 22th International Conference on Computational Science and Applications (ICCSA 2022<\/a>).<\/p>\n\n
The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences.\u00a0<\/p>\n\n
Topics of interest include (but are not limited to):<\/p>\n\n
\n\t
Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc.<\/li>\n\t
Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences.<\/li>\n<\/ul>\n\n
In 2022 is the 9th edition of this event.<\/p>\n","editable":false,"start":"2022-07-04","allDay":true,"end":"2022-07-10","backgroundColor":"#ffffff"},{"title":"4th International Conference on Statistical Distributions and Applications (ICOSDA 2022)","id":"194-0","eid":"1264","url":"\/events\/node-1264","des":"
4th International Conference on Statistical Distributions and Applications (ICOSDA 2022)<\/a><\/h2>\n
DoubleTree by Hilton, Huntington, West Virginia, USA<\/p>\n\n
This international conference is being organized to provide a platform for researchers and practitioners to share and discuss recent advancements on statistical distributions and their applications, and to provide opportunities for collaborative work. The scopes of ICOSDA 2022 include, but not limited to statistical distributions and applications; statistical modeling; inference (frequentist or Bayesian) on statistical distributions; analysis of high dimensional data; generalized linear models; and statistical distributions in the era of global pandemic.<\/p>\n","editable":false,"start":"2022-10-13","allDay":true,"end":"2022-10-16","backgroundColor":"#ffffff"},{"title":"Workshop Series on Data-Mining","id":"195-0","eid":"1268","url":"\/events\/node-1268","des":"
Workshop Series on Data-Mining<\/a><\/h2>\n
<\/p>\n\n
Organized by the Pak Institute of Statistical Training and Research (PISTAR), Lahore, Pakistan.<\/p>\n\n
The series consists of three sessions: 16 January, 30 January, 20 February 2022<\/strong> (all Sundays) to be conducted by Dr. Pedro Campos<\/strong>, assistant professor at the Faculty of Economics, University of Porto, and \u00a0Director of the Methodology Unit at Statistics Portugal.<\/p>\n\n
For queries and registration: Dr. Syed Wasim Abbas (email alsyed_edu@hotmail.com, cell phone number +92 333 6550630).<\/p>\n","editable":false,"start":"2022-01-16","allDay":true,"end":"2022-02-21","backgroundColor":"#ffffff"},{"title":"7th Stochastic Modeling Techniques and Data Analysis International Conference and Demographics 2022 Workshop","id":"196-0","eid":"1269","url":"\/events\/node-1269","des":"
7th Stochastic Modeling Techniques and Data Analysis International Conference and Demographics 2022 Workshop<\/a><\/h2>\n
Athens, Greece<\/p>\n\n
The Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA) main objective is to welcome papers, both theoretical or practical, presenting new techniques and methodologies in the broad area of stochastic modeling and data analysis. An objective is to use the methods proposed for solving real life problems by analyzing the relevant data. Also, the use of recent advances in different fields will be promoted such as for example, new optimization and statistical methods, data warehouse, data mining and knowledge systems, computing-aided decision supports and neural computing.<\/p>\n\n
Particular attention will be given to interesting applications in engineering, productions and services (maintenance, reliability, planning and control, quality control, finance, insurance, management and administration, inventory and logistics, marketing, environment, human resources, biotechnology, medicine).<\/p>\n","editable":false,"start":"2022-06-07","allDay":true,"end":"2022-06-11","backgroundColor":"#ffffff"},{"title":"36th International Workshop on Statistical Modelling","id":"197-0","eid":"1272","url":"\/events\/node-1272","des":"
36th International Workshop on Statistical Modelling<\/a><\/h2>\n
Trieste (Italy)<\/p>\n\n
$\"\"$ <\/p>\n\n
The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application. Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.<\/p>\n","editable":false,"start":"2022-07-18","allDay":true,"end":"2022-07-23","backgroundColor":"#ffffff"},{"title":"IASS webinar 13: Making inferences from non-probability samples through data integration","id":"198-0","eid":"1275","url":"\/events\/node-1275","des":"
IASS webinar 13: Making inferences from non-probability samples through data integration<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Jean-Fran\u00e7ois Beaumont<\/strong><\/p>\n\n
Abstract<\/h2>\n\n
For several decades, national statistical agencies around the world have been using probability surveys as their preferred tool to meet information needs about a population of interest. In the last few years, there has been a wind of change and other data sources are being increasingly explored. Five key factors are behind this trend: the decline in response rates in probability surveys, the high cost of data collection, the increased burden on respondents, the desire for access to \u201creal-time\u201d statistics, and the proliferation of non-probability data sources. In this presentation, I review some data integration approaches that take advantage of both probability and non-probability data sources such as the dual frame weighting, calibration, statistical matching, inverse probability weighting and small area estimation. I discuss the characteristics of each approach, including their benefits and limitations, and present a few empirical results.<\/p>\n","editable":false,"start":"2022-01-26","allDay":true,"end":"2022-01-27","backgroundColor":"#333333"},{"title":"14th Qualitative and Quantitative Methods in Libraries International Conference (QQML 2022).","id":"199-0","eid":"1277","url":"\/events\/node-1277","des":"
14th Qualitative and Quantitative Methods in Libraries International Conference (QQML 2022).<\/a><\/h2>\n
Athens, Greece<\/p>\n\n
\u201cMeasuring of reading and literacy in future libraries: transformation and innovation\u201d
\nSub- themes: New ICTs, Sustainable Development, marketing, Data analysis, Quality, Metrics, Future libraries, Library theory and research: New theories, models and frameworks<\/p>\n","editable":false,"start":"2022-05-24","allDay":true,"end":"2022-05-28","backgroundColor":"#ffffff"},{"title":"Statistical Methods in Finance 2022","id":"200-0","eid":"1280","url":"\/events\/node-1280","des":"
Statistical Methods in Finance 2022<\/a><\/h2>\n
Website<\/p>\n\n
For the conference PhD students, post-doctoral researchers, and faculty members in mathematics, statistics, business, economics, and physics are eligible to apply. Participants from the industry are encouraged to apply with a paper to be considered for presentation in the contributed paper sessions.
\n
\nThe workshop on Artificial Intelligence in Finance is open to all students, undergraduate and above as well as industry participants, in addition to researchers and faculty.
\n
\nAbstracts for contributed talks will be accepted until May 15, 2022.<\/p>\n","editable":false,"start":"2022-06-28","allDay":true,"end":"2022-07-03","backgroundColor":"#ffffff"},{"title":"Time Series Robust Methods - In the Time and Frequency Domains","id":"201-0","eid":"1285","url":"\/events\/node-1285","des":"
Time Series Robust Methods - In the Time and Frequency Domains<\/a><\/h2>\n
Webinar<\/p>\n\n
Speakers: Vald\u00e9rio Anselmo Reisen, Pascal Bondon<\/strong><\/p>\n\n
This seminar aims to discuss recent developments in robust estimation in linear time series models, with short and long memory correlation structures, in the presence of additive outliers. Robust estimators of the auto covariance matrix will be discussed from both time and domain approaches from both theoretical and applied points of view. A variety of application models will be considered for the use of the proposed methodologies, such as multivariate techniques (factor analysis and PCA), time series and mixed models. Real applications will also be discussed.<\/p>\n","editable":false,"start":"2022-02-01","allDay":true,"end":"2022-02-02","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 14: Rescuing non-probability samples: an experience with model-based inference from a web-panel survey","id":"202-0","eid":"1286","url":"\/events\/node-1286","des":"
IASS Webinar 14: Rescuing non-probability samples: an experience with model-based inference from a web-panel survey<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speakers: Marcelo Trindade Pitta, Pedro Luis do Nascimento Silva<\/strong><\/p>\n","editable":false,"start":"2022-02-23","allDay":true,"end":"2022-02-24","backgroundColor":"#333333"},{"title":"Common Errors in Statistical Studies","id":"203-0","eid":"1287","url":"\/events\/node-1287","des":"","editable":false,"start":"2022-02-24","allDay":true,"end":"2022-02-25","backgroundColor":"#009999"},{"title":"IASS Webinar 15: Approaches for combining data from multiple probability samples","id":"204-0","eid":"1288","url":"\/events\/node-1288","des":"
IASS Webinar 15: Approaches for combining data from multiple probability samples<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Marcel Vieira<\/strong><\/p>\n","editable":false,"start":"2022-03-29","allDay":true,"end":"2022-03-30","backgroundColor":"#333333"},{"title":"IASS webinar 18: Spatial Sampling and geospatial information for monitoring agriculture","id":"205-0","eid":"1289","url":"\/events\/node-1289","des":"
IASS webinar 18: Spatial Sampling and geospatial information for monitoring agriculture<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Elisabetta Carfagna<\/strong><\/p>\n","editable":false,"start":"2022-06-29","allDay":true,"end":"2022-06-30","backgroundColor":"#333333"},{"title":"Survival Analysis using Modified Kaplan-Meier Model","id":"206-0","eid":"1290","url":"\/events\/node-1290","des":"
Survival Analysis using Modified Kaplan-Meier Model<\/a><\/h2>\n
Watch the recording<\/p>\n\n
Speakers: Prof. Eyitayo K Lasisi, Mr. Hamza Yusuf<\/strong><\/p>\n\n
\n\tslides of Prof. Eyitayo K Lasisi<\/a><\/li>\n\t
slides of Dr. Hamza Yusuf<\/a><\/li>\n<\/ul>\n\n
Abstract<\/h2>\n\n
Survival analysis, or more generally, time-to-event analysis, refers to a set of methods for analyzing the length of time until the occurrence of a well-defined end point of an interest. A unique feature of survival data is that typically not all patients experience the event (e.g, death) by the end of the observation period, so the actual survival times for some patients are unknown.\u00a0 Appropriate analysis of survival data requires specific statistical methods that can deal with censored data. As the assessed outcome is frequently mortality, these techniques are subsumed under the term survival analysis. Kaplan Meier is a non-parametric statistic that deals with time-to-event data, which analyze the patients or participants that will be lost to follow-up or dropped out of the study; those who will develop the disease of interest or those that will survive it.\u00a0 In this seminar, I will refresh our knowledge on Kaplan Meier model as a statistical model for survival analysis, identify various types of censoring in survival analysis, describe survival and hazard function in survival analysis and final introduce the modified model.<\/p>\n","editable":false,"start":"2022-01-28","allDay":true,"end":"2022-01-29","backgroundColor":"#2e2d5e"},{"title":"Environmental Statistics and Statistical Computing","id":"207-0","eid":"1291","url":"\/events\/node-1291","des":"
Environmental Statistics and Statistical Computing<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speaker: Dr. Oludare Ariyo<\/strong><\/p>\n","editable":false,"start":"2021-12-17","allDay":true,"end":"2021-12-18","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 12: Robust Analysis of Linked Sample Data","id":"208-0","eid":"1292","url":"\/events\/node-1292","des":"
IASS Webinar 12: Robust Analysis of Linked Sample Data<\/a><\/h2>\n
Webinar<\/p>\n\n
Speakers: Ray Chambers, Nicola Salvati, Enrico Fabrizi<\/strong><\/p>\n","editable":false,"start":"2021-12-15","allDay":true,"end":"2021-12-16","backgroundColor":"#333333"},{"title":"Data Visualization, Theory and Applications","id":"209-0","eid":"1293","url":"\/events\/node-1293","des":"
Data Visualization, Theory and Applications<\/a><\/h2>\n
<\/p>\n\n
Speaker: Natalia Da Silva<\/strong><\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a> – Day 3<\/a><\/p>\n","editable":false,"start":"2021-11-22","allDay":true,"end":"2021-11-23","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 11: Positioning Household Surveys for the Next Decade","id":"210-0","eid":"1294","url":"\/events\/node-1294","des":"
IASS Webinar 11: Positioning Household Surveys for the Next Decade<\/a><\/h2>\n
Webinar<\/p>\n\n
Speaker: Gero Carletto<\/strong><\/p>\n","editable":false,"start":"2021-11-23","allDay":true,"end":"2021-11-24","backgroundColor":"#333333"},{"title":"Linkage of multiple disparate data sources with an application to estimate COVID-19 vaccine hesitancy rates for small areas","id":"211-0","eid":"1295","url":"\/events\/node-1295","des":"
Linkage of multiple disparate data sources with an application to estimate COVID-19 vaccine hesitancy rates for small areas<\/a><\/h2>\n
Webinar<\/p>\n\n
Speaker: Partha Lahiri<\/strong><\/p>\n\n
\n\tPowerPoint presentation<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-11-15","allDay":true,"end":"2021-11-16","backgroundColor":"#0070bc"},{"title":"IASS Webinar 10: Theory and Practice of Adaptive Survey Design at Statistics Netherlands","id":"212-0","eid":"1296","url":"\/events\/node-1296","des":"
IASS Webinar 10: Theory and Practice of Adaptive Survey Design at Statistics Netherlands<\/a><\/h2>\n
Webinar recording<\/p>\n\n
Speakers: Kees van Berkel, Barry Schouten<\/strong><\/p>\n","editable":false,"start":"2021-10-28","allDay":true,"end":"2021-10-29","backgroundColor":"#333333"},{"title":"Machine Learning for Data Science","id":"213-0","eid":"1297","url":"\/events\/node-1297","des":"
Machine Learning for Data Science<\/a><\/h2>\n
<\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a> – Day 3<\/a> – Day 4<\/a><\/p>\n","editable":false,"start":"2021-09-27","allDay":true,"end":"2021-10-01","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 9: Targeted or lagged walk sampling for estimation of finite-order graph parameters","id":"214-0","eid":"1298","url":"\/events\/node-1298","des":"","editable":false,"start":"2021-09-23","allDay":true,"end":"2021-09-24","backgroundColor":"#333333"},{"title":"IASS Webinar 8: Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data","id":"215-0","eid":"1299","url":"\/events\/node-1299","des":"
IASS Webinar 8: Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data<\/a><\/h2>\n
Webinar recording<\/p>\n\n
\n\t
PowerPoint presentation<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-09-02","allDay":true,"end":"2021-09-03","backgroundColor":"#333333"},{"title":"Leading Women in Business and Industrial Statistics with Christine M. Anderson-Cook","id":"216-0","eid":"1300","url":"\/events\/node-1300","des":"","editable":false,"start":"2021-07-06","allDay":true,"end":"2021-07-07","backgroundColor":"#009999"},{"title":"Methodology for a Household Based COVID-19 Testing Survey in Para\u00edba State \u2013 Brazil","id":"217-0","eid":"1301","url":"\/events\/node-1301","des":"
Methodology for a Household Based COVID-19 Testing Survey in Para\u00edba State \u2013 Brazil<\/a><\/h2>\n
Webinar<\/p>\n\n
\n\t
PowerPoint presentation<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-06-25","allDay":true,"end":"2021-06-26","backgroundColor":"#333333"},{"title":"Why being a female statistician in Africa matters, and more","id":"218-0","eid":"1302","url":"\/events\/node-1302","des":"
Why being a female statistician in Africa matters, and more<\/a><\/h2>\n
Webinar recording<\/p>\n\n
With Sonali Das<\/p>\n","editable":false,"start":"2021-05-21","allDay":true,"end":"2021-05-22","backgroundColor":"#009999"},{"title":"An Introduction to Functional Data Analysis for Density Functions in Bayes Spaces","id":"219-0","eid":"1303","url":"\/events\/node-1303","des":"
An Introduction to Functional Data Analysis for Density Functions in Bayes Spaces<\/a><\/h2>\n
<\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a><\/p>\n\n
PowerPoint presentations:<\/p>\n\n
\n\t
Day 1, Geometry of Bayes Spaces<\/a><\/li>\n\t
Day 1, Smoothing Splines for Densities<\/a><\/li>\n\t
Day 1, Dimension Reduction<\/a><\/li>\n\t
Day 2, Anomaly Detection<\/a><\/li>\n\t
Day 2, Regression<\/a><\/li>\n\t
Day 2, Spatial Dependence<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-04-29","allDay":true,"end":"2021-05-01","backgroundColor":"#2e2d5e"},{"title":"Towards big data mining in Industry 4.0: quality modelling and monitoring in additive manufacturing","id":"220-0","eid":"1304","url":"\/events\/node-1304","des":"
Towards big data mining in Industry 4.0: quality modelling and monitoring in additive manufacturing<\/a><\/h2>\n
Webinar<\/p>\n\n
With Bianca Maria Colosimo<\/p>\n","editable":false,"start":"2021-04-21","allDay":true,"end":"2021-04-22","backgroundColor":"#009999"},{"title":"The use of Administrative Data to Produce the First Wave of Italian Permanent Census Estimate","id":"221-0","eid":"1305","url":"\/events\/node-1305","des":"
The use of Administrative Data to Produce the First Wave of Italian Permanent Census Estimate<\/a><\/h2>\n
Webinar<\/p>\n\n
\n\t
View the slides<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-03-25","allDay":true,"end":"2021-03-26","backgroundColor":"#333333"},{"title":"Leading Women in Business and Industrial Statistics - with Nalini Ravishanker","id":"222-0","eid":"1306","url":"\/events\/node-1306","des":"
Leading Women in Business and Industrial Statistics - with Nalini Ravishanker<\/a><\/h2>\n
Webinar<\/p>\n\n
\n\t
PowerPoint presentation<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2021-03-23","allDay":true,"end":"2021-03-24","backgroundColor":"#009999"},{"title":"La m\u00e9thode g\u00e9n\u00e9ralis\u00e9e du partage des poids et ses application","id":"223-0","eid":"1307","url":"\/events\/node-1307","des":"","editable":false,"start":"2021-02-26","allDay":true,"end":"2021-02-27","backgroundColor":"#333333"},{"title":"Geostatistics for Functional Data","id":"224-0","eid":"1308","url":"\/events\/node-1308","des":"
Geostatistics for Functional Data<\/a><\/h2>\n
<\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a> – Day 3<\/a><\/p>\n","editable":false,"start":"2021-02-23","allDay":true,"end":"2021-02-26","backgroundColor":"#2e2d5e"},{"title":"United Nations Statistical Commission IAOS Side Even","id":"225-0","eid":"1309","url":"\/events\/node-1309","des":"","editable":false,"start":"2021-02-22","allDay":true,"end":"2021-02-23","backgroundColor":"#0070bc"},{"title":"A statistician reads the news: Statistics and data science challenges in content analytics","id":"226-0","eid":"1310","url":"\/events\/node-1310","des":"","editable":false,"start":"2021-02-19","allDay":true,"end":"2021-02-20","backgroundColor":"#009999"},{"title":"Data Science in Tourism","id":"227-0","eid":"1311","url":"\/events\/node-1311","des":"","editable":false,"start":"2021-02-11","allDay":true,"end":"2021-02-12","backgroundColor":"#009999"},{"title":"First Event on Play with Real Data: Selected Teams Webinar","id":"228-0","eid":"1312","url":"\/events\/node-1312","des":"","editable":false,"start":"2021-01-30","allDay":true,"end":"2021-01-31","backgroundColor":"#009999"},{"title":"Data Science in Industry","id":"229-0","eid":"1313","url":"\/events\/node-1313","des":"","editable":false,"start":"2021-01-28","allDay":true,"end":"2021-01-29","backgroundColor":"#009999"},{"title":"Quantitative Finance and the Critical Role of Statistics and Data Science","id":"230-0","eid":"1314","url":"\/events\/node-1314","des":"","editable":false,"start":"2021-01-22","allDay":true,"end":"2021-01-23","backgroundColor":"#009999"},{"title":"First Event on Play with Real Data","id":"231-0","eid":"1315","url":"\/events\/node-1315","des":"","editable":false,"start":"2020-12-31","allDay":true,"end":"2021-01-01","backgroundColor":"#009999"},{"title":"Population size estimation using administrative data","id":"232-0","eid":"1316","url":"\/events\/node-1316","des":"
Population size estimation using administrative data<\/a><\/h2>\n
Webinar<\/p>\n\n
\n\t
PowerPoint presentation<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2020-12-09","allDay":true,"end":"2020-12-10","backgroundColor":"#333333"},{"title":"The Social Structure of Financial Network","id":"233-0","eid":"1317","url":"\/events\/node-1317","des":"","editable":false,"start":"2020-12-01","allDay":true,"end":"2020-12-02","backgroundColor":"#009999"},{"title":"Statistical Inference in Markov Processes","id":"234-0","eid":"1318","url":"\/events\/node-1318","des":"
Statistical Inference in Markov Processes<\/a><\/h2>\n
<\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a> – Day 3<\/a> – Day 4<\/a><\/p>\n","editable":false,"start":"2020-11-23","allDay":true,"end":"2020-11-27","backgroundColor":"#2e2d5e"},{"title":"Joint IAOS-IASS Webinar to Celebrate World Statistics Day: On the Importance to Society of High Quality Public Statistics","id":"235-0","eid":"1319","url":"\/events\/node-1319","des":"
Joint IAOS-IASS Webinar to Celebrate World Statistics Day: On the Importance to Society of High Quality Public Statistics<\/a><\/h2>\n
Webinar<\/p>\n\n
PowerPoint presentations:<\/p>\n\n
\n\t
Eric Rancourt<\/a><\/li>\n\t
Walter J. Rademacher<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2020-11-05","allDay":true,"end":"2020-11-06","backgroundColor":"#0070bc"},{"title":"IASS-Survey-and-Big-data-interactions","id":"236-0","eid":"1320","url":"\/events\/node-1320","des":"","editable":false,"start":"2020-11-04","allDay":true,"end":"2020-11-05","backgroundColor":"#333333"},{"title":"YS-ISI: Training Workshop on Data Science for Official Statistics using R","id":"237-0","eid":"1321","url":"\/events\/node-1321","des":"","editable":false,"start":"2020-10-29","allDay":true,"end":"2020-10-30","backgroundColor":"#ffffff"},{"title":"YS-ISI: Training Workshop on Data Science for Official Statistics using R","id":"238-0","eid":"1322","url":"\/events\/node-1322","des":"","editable":false,"start":"2020-10-28","allDay":true,"end":"2020-10-29","backgroundColor":"#ffffff"},{"title":"New World Order and Official Statistics in Nigeria","id":"239-0","eid":"1323","url":"\/events\/node-1323","des":"","editable":false,"start":"2020-10-22","allDay":true,"end":"2020-10-23","backgroundColor":"#0070bc"},{"title":"Misuse of Statistics - Time to Speak Out","id":"240-0","eid":"1324","url":"\/events\/node-1324","des":"","editable":false,"start":"2020-10-06","allDay":true,"end":"2020-10-07","backgroundColor":"#0070bc"},{"title":"Benefits of joining IASC and Introduction to R for time series analysis (2)","id":"241-0","eid":"1325","url":"\/events\/node-1325","des":"
Benefits of joining IASC and Introduction to R for time series analysis (2)<\/a><\/h2>\n
<\/p>\n\n
Recordings: Day 1<\/a> – Day 2<\/a><\/p>\n","editable":false,"start":"2020-09-29","allDay":true,"end":"2020-10-01","backgroundColor":"#2e2d5e"},{"title":"Benefits of joining IASC and Introduction to R for time series analysis (1)","id":"242-0","eid":"1326","url":"\/events\/node-1326","des":"","editable":false,"start":"2020-09-28","allDay":true,"end":"2020-09-29","backgroundColor":"#2e2d5e"},{"title":"IASC Webinar with Sugnet Lubbe","id":"243-0","eid":"1327","url":"\/events\/node-1327","des":"","editable":false,"start":"2020-09-16","allDay":true,"end":"2020-09-17","backgroundColor":"#2e2d5e"},{"title":"Sample Surveys on COVID-19 Pandemia Around the World","id":"244-0","eid":"1328","url":"\/events\/node-1328","des":"
Sample Surveys on COVID-19 Pandemia Around the World<\/a><\/h2>\n
Webinar<\/p>\n\n
PowerPoint presentations:<\/p>\n\n
\n\t
Gemma Van Halderen<\/a><\/li>\n\t
Stephen Haslett<\/a><\/li>\n\t
Salah Merad<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2020-09-03","allDay":true,"end":"2020-09-04","backgroundColor":"#333333"},{"title":"Sample Surveys on COVID-19 Pandemia","id":"245-0","eid":"1329","url":"\/events\/node-1329","des":"
Sample Surveys on COVID-19 Pandemia<\/a><\/h2>\n
<\/p>\n\n
PowerPoint presentations:<\/p>\n\n
\n\t
Pedro Luis do Nascimento Silva<\/a><\/li>\n\t
Danny Pfefferman<\/a><\/li>\n\t
Bruce Fraser<\/a><\/li>\n<\/ul>\n","editable":false,"start":"2020-06-24","allDay":true,"end":"2020-06-25","backgroundColor":"#333333"},{"title":"ISI Side Event: Statistical Leadership - the Role of National Statistical Institutes","id":"246-0","eid":"1331","url":"\/events\/node-1331","des":"
ISI Side Event: Statistical Leadership - the Role of National Statistical Institutes<\/a><\/h2>\n
View the recording<\/p>\n\n
$\"\"$ <\/p>\n\n
The\u00a0ISI side event\u00a0\u2018Statistical Leadership \u2013 the Role of National Statistical Institutes\u2019 will be held on 14 February 2022, at the occasion of the 53rd Session of the United Nations Statistical Commission.\u00a0A panel of leading Official Statisticians will invite questions and lead the debate on the role of National Statistical Institutes in demonstrating leadership:<\/p>\n\n
\n\t
nationally \u2013 within government and among the general public, and<\/li>\n\t
internationally \u2013 with international agencies.<\/li>\n<\/ul>\n\n
The debate will cover the role of NSIs in working with national statistical societies, and in developing the leadership skills of statisticians. Examples will be taken from the contribution NSIs have made on public debates on COVID-19, on the population census and on sustainable indicators. The debate will highlight the importance of national governance frameworks to support the leadership role of NSIs.<\/p>\n\n
The subject is relevant across the agenda of the 53rd UNSC session, but especially the discussions on sustainable development indicators, data stewardship, climate change statistics, Big Data and population censuses. The aim of the session is to share ideas and stimulate thoughts among heads of NSIs as to how best to develop the leadership role of their agency.<\/p>\n\n
Moderator<\/strong>:<\/p>\n\n
\n\tAda van Krimpen, ISI Director<\/li>\n<\/ul>\n\n
Panelists<\/strong>:<\/p>\n\n
\n\t
Stephen Penneck, ISI President and former Director General of the UK Office for National Statistics<\/li>\n\t
Gabriella Vukovich, ISI Vice-President and President of the Hungarian Central Statistical Office<\/li>\n\t
Anil Arora, Chief Statistician of Canada<\/li>\n\t
Prof. Ben Kiregyera, International Consultant, Uganda<\/li>\n<\/ul>\n","editable":false,"start":"2022-02-14","allDay":true,"end":"2022-02-15","backgroundColor":"#0000af"},{"title":"IFCS 2022 - Classification and Data Science in the Digital Age","id":"247-0","eid":"1332","url":"\/events\/node-1332","des":"
IFCS 2022 - Classification and Data Science in the Digital Age<\/a><\/h2>\n
Porto, Portugal<\/p>\n\n
$\"\"$ <\/p>\n\n
IFCS 2022 - Classification and Data Science in the Digital Age is the 17th Conference of the International Federation of Classification Societies. It is one of the most important conferences worldwide in the area of Data Science, usually bringing together several hundred participants from the academic world and from different activities where Data Science is applied, allowing the dissemination of theoretical and applied work, encouraging interdisciplinary, the exchange of experiences and future cooperation.<\/p>\n","editable":false,"start":"2022-07-19","allDay":true,"end":"2022-07-24","backgroundColor":"#ffffff"},{"title":"UN Statistical Commission 2022: Side Event \u201cEthics, trust, governance and use of data: Enhancing Official Statistics Capacity to address these issues\u201d","id":"248-0","eid":"1334","url":"\/events\/node-1334","des":"
UN Statistical Commission 2022: Side Event \u201cEthics, trust, governance and use of data: Enhancing Official Statistics Capacity to address these issues\u201d<\/a><\/h2>\n
Register here<\/p>\n\n
$\"\"$ <\/p>\n\n
Background and Objectives:<\/strong><\/p>\n\n
Official statistics are, as many describe it, in the midst of a data revolution^{1<\/sup>\u00a0where data is the new oil^{2<\/sup>.<\/p>\n\n}}
However, official statistics do not operate in isolation. Official statistics are one actor in an ecosystem of actors responding to the data needs of a complex and crowded international agenda including the 2030 Agenda for Sustainable Development, the Sendai Framework for Disaster Risk Reduction and the Paris Agreement on Climate Change. Official statistics are also one actor in national ecosystems where competition for more timely and more relevant data is increasing at the same time as issues of trust, misuse, governance and ethics.\u00a0<\/p>\n\n
Official statistics should not act alone and must engage with these other actors. We also need to be forward looking and anticipatory, not reactive. To take leadership where appropriate and stand ready to act when needed.\u00a0<\/p>\n\n
The International Association for Official Statistics was founded in 1985 as an international non-government organization and a specialized section of the International Statistical Institute (ISI). It is an Association of physical and legal persons who have scientific or professional interest in the field of official statistics promoting the understanding and advancement of official statistics and related subjects, and focused on the development of effective and efficient official statistical services, particularly in developing countries.\u00a0<\/p>\n\n
The Association has focused in recent years on ethics, trust, governance and misuse of data and is considering the creation of a small reflection group to give more prominence and focus to these issues. The group may, for instance, map issues related to data misuse, trust, governance and ethics and set out possible responses and actions for official statistics in relation to these matters.\u00a0<\/p>\n\n
This session provides an opportunity to explore issues of ethics, trust, governance and use of data and reflect on the Association\u2019s proposal.\u00a0\u00a0<\/p>\n\n
^{1\u00a0<\/sup>In 2012, the UN Secretary-General Ban Ki-moon appointed a High Level Panel to advise on the global development agenda after the 2015 millennium development goals (MDGs).\u00a0 The Panel was the first to express the need for a data revolution.<\/p>\n\n}
^{2\u00a0<\/sup>}The world\u2019s most valuable resource is no longer oil, but data | The Economist<\/a>. (2017)<\/p>\n\n
Speakers:<\/strong><\/p>\n\n
- Misha Belkindas, IAOS President
\n- Martine Durand, Retired OECD Chief Statistician, Member of the French Statistical Authority
\n- Jan Robert Suesser, Member of IAOS Executive Committee and Member of ISI Advisory Board on Ethics
\n- Walter Radermacher, Retired Director-General, Eurostat, President of Federation of European National Statistical Societies, Chair of ISI Advisory Board on Ethics
\n- Gemma Van Halderen, Member of IAOS Executive Committee and Focal Point for IAOS Young Statisticians Prize<\/p>\n","editable":false,"start":"2022-02-08","allDay":true,"end":"2022-02-09","backgroundColor":"#ffffff"},{"title":"Conference on Stochastic Analysis and Stochastic Partial Differential Equations","id":"249-0","eid":"1361","url":"\/events\/node-1361","des":"
Conference on Stochastic Analysis and Stochastic Partial Differential Equations<\/a><\/h2>\n
Barcelona, Spain<\/p>\n\n
The goals of this conference are to bring together internationally renowned researchers working on various topics related to stochastic analysis and, particularly, to the theory and applications of stochastic partial differential equations, and to expose and attract graduate students and young researchers to this steadily growing area. The conference is organized in honour of Professor Marta Sanz-Sol\u00e9.<\/p>\n","editable":false,"start":"2022-05-30","allDay":true,"end":"2022-06-04","backgroundColor":"#ffffff"},{"title":"Webinar on Time Series Econometrics with R: Theory, Application and Computing","id":"250-0","eid":"1362","url":"\/events\/node-1362","des":"
Webinar on Time Series Econometrics with R: Theory, Application and Computing<\/a><\/h2>\n
Watch the recording<\/p>\n\n
Time<\/strong>: 2:30pm-4:00pm CET
\nDuration<\/strong>: 90 minutes<\/p>\n\n
Summary<\/p>\n\n
1st Chapter: The Concept of Time Series<\/strong><\/p>\n\n
Definition, data type, purpose, plots, trends, and seasonal variation, decomposition of series, models, estimating trends and seasonal effects, smoothing, applications using R.<\/p>\n\n
2nd Chapter: Correlation<\/strong><\/p>\n\n
Purpose, Expectation and the Ensemble: expected value, the ensemble and stationarity, ergodic series, variance function, autocorrelation, the correlogram: general discussion, and illustrative examples, covariance of sums of random variables, examples in real-life situation.\u00a0<\/p>\n\n
3rd Chapter: Forecasting Strategies<\/strong><\/p>\n\n
Purpose, Leading variables and associated variables, Bass models: exponential smoothing and the Holt-Winters method. Application using R language.\u00a0<\/p>\n\n
4th Chapter: Basic Stochastic Models<\/strong><\/p>\n\n
Purpose, white noise, random walk, fitted models and diagnostic plots, autoregressive models and applications in real-world using R language.<\/p>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-02-25","allDay":true,"end":"2022-02-26","backgroundColor":"#2e2d5e"},{"title":"9th International Conference on Risk Analysis - ICRA9","id":"251-0","eid":"1363","url":"\/events\/node-1363","des":"
9th International Conference on Risk Analysis - ICRA9<\/a><\/h2>\n
University of Perugia, Italy<\/p>\n\n
$\"\"$ <\/p>\n\n
The aim of ICRA is to provide a forum for presenting and discussing the most emergent topics in theoretical and computational models and methods in Risk Analysis with applications for the risk assessment and the risk management in Life, Biological and Environmental Sciences & Public Health, Economics and Finance, and Reliability of Engineering, Technical, Biological & Biomedical Systems. The conference is jointly organized by University of Perugia and University of Salerno (ITALY).<\/p>\n","editable":false,"start":"2022-05-25","allDay":true,"end":"2022-05-28","backgroundColor":"#ffffff"},{"title":"PISTAR's and IASS Sponsored Virtual Conference & Workshop","id":"252-0","eid":"1364","url":"\/events\/node-1364","des":"
PISTAR's and IASS Sponsored Virtual Conference & Workshop<\/a><\/h2>\n
Register for this event<\/p>\n\n
\n\t
Day-long virtual conference on\u00a0Latest Developments in the Theory and Practice\u00a0of Sample Surveys and Censuses<\/strong>:
\n\tSaturday 12 March, 2022, 08:45 - 17:00 PKT<\/li>\n\t
One day online workshop on Utilization of Remote Sensing in Sample Surveys\u00a0and CensusesWorkshop Date & Time:<\/strong>
\n\tSunday 13 March, 2022, 08:45 - 17:00 PKT<\/li>\n<\/ul>\n\n
Event Address<\/strong>: Online Through Zoom<\/p>\n\n
Flyer<\/a><\/p>\n\n
Sponsored by:<\/strong> INTERNATIONAL ASSOCIATION\u00a0OF SURVEY STATISTICIANS (IASS)<\/p>\n\n
IASS<\/h2>\n\n
The International Association of Survey Statisticians aims to\u00a0promote the study and development of the theory and practice of sample surveys and censuses.<\/p>\n\n
An important objective of IASS is to promote sharing of\u00a0knowledge and practice across a number of countries which\u00a0would not normally have opportunities to share such\u00a0knowledge and practice.\u00a0It also aims to increase the interest in surveys and censuses among statisticians, governments and the public in the different countries of the world.<\/p>\n\n
IASS is one of the associations linked with the\u00a0International Statistical Institute.<\/p>\n\n
Contact us at:<\/strong>
\nDr. Syed Wasim Abbas, +92 333 6550630, pistar.pk@gmail.com
\nMr. Muhammad Iftikhar, +92 333 4314748, secretary@isoss.net<\/p>\n\n
PISTAR<\/h2>\n\n
The Pak Institute of Statistical Training and Research (PISTAR)\u00a0employs best practices and resources for spreading statistical\u00a0thinking, knowledge of statistical methodology and data-handling\u00a0skills. The primary objective is the statistical capacity building\u00a0and empowerment of professionals, academicians and students\u00a0within the country and beyond.<\/p>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-03-12","allDay":true,"end":"2022-03-14","backgroundColor":"#333333"},{"title":"IASS Webinar 17: On calibration and balanced sampling. Webinar in memory of Jean-Claude Deville","id":"253-0","eid":"1365","url":"\/events\/node-1365","des":"","editable":false,"start":"2022-05-25","allDay":true,"end":"2022-05-26","backgroundColor":"#333333"},{"title":"Workshop on Dimensionality Reduction and Inference in High-Dimensional Time Series","id":"254-0","eid":"1408","url":"\/events\/node-1408","des":"
Workshop on Dimensionality Reduction and Inference in High-Dimensional Time Series<\/a><\/h2>\n
Maastricht, the Netherlands<\/p>\n\n
On June 13-14, 2022, the second Workshop on Dimensionality Reduction and Inference in High-Dimensional Time Series will be organized in Maastricht.<\/p>\n\n
Location<\/strong>
\nSchool of Business and Economics, Maastricht University, Maastricht, the Netherlands<\/p>\n","editable":false,"start":"2022-06-13","allDay":true,"end":"2022-06-15","backgroundColor":"#ffffff"},{"title":"CSDA & EcoSta Workshop on Statistical Data Science (SDS 2022) COMPSTAT 2022 Satellite workshop","id":"255-0","eid":"1446","url":"\/events\/node-1446","des":"
CSDA & EcoSta Workshop on Statistical Data Science (SDS 2022) COMPSTAT 2022 Satellite workshop<\/a><\/h2>\n
Bologna, Italy<\/p>\n\n
This workshop is associated with the new section of the journal Computational Statistics & Data Analysis, the Annals of Statistical Data Science (SDS). The workshop and the Annals of SDS are promoted by the CMStatistics network. The journals Computational Statistics & Data Analysis (CSDA) and Econometrics and Statistics (EcoSta) are the official publications of CMStatistics.<\/p>\n\n
Until the 31st of March, the registration fee is 195 euros. You can register here<\/a>.<\/p>\n\n
The workshop is planned to be mainly in person, but due to the COVID-19 pandemic, virtual presentations will also be considered.<\/p>\n\n
Keynote speakers<\/strong>:<\/p>\n\n
\n\t
Geoffrey McLachlan<\/strong>, University of Queensland, Australia.<\/li>\n\t
Peter Rousseeuw<\/strong>, KU Leuven, Belgium.<\/li>\n\t
Patrick J. Wolfe<\/strong>, Purdue University, United States.<\/li>\n<\/ul>\n\n
The Annals and the Workshop of Statistical Data Science will serve as an outlet for research using advanced computational and\/or statistical methods for tackling challenging data analytic problems. They will become a valuable resource for well-founded theoretical and applied data-driven research. Significant computational or statistical methodological components for data analytics will be considered. In particular, contributions at the interface of computing, statistics addressing problems involving large and\/or complex data are welcome. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software.<\/p>\n\n
Important dates<\/strong>:
\n15 May 2022 \u00a0 \u00a0 \u00a0 \u00a0Abstract submission
\n27 May 2022 \u00a0 \u00a0 \u00a0 \u00a0Presenting authors\u2019 registration
\n\u00a0<\/p>\n","editable":false,"start":"2022-08-26","allDay":true,"end":"2022-08-29","backgroundColor":"#ffffff"},{"title":"IASE - Raising statistical modeling accessibility to young learners","id":"256-0","eid":"1455","url":"\/events\/node-1455","des":"
IASE - Raising statistical modeling accessibility to young learners<\/a><\/h2>\n
Register here<\/p>\n\n
Current and recent global events have reified the importance of empowering the public with data literacy skills, as well as the appreciation of variation, its multiple sources, and of the uncertainty that is omnipresent in our everyday lives. This calls to introduce novices to the culture of statistics \u2013 including the dispositions and critical ways of thinking that characterize this culture. Many have suggested that engaging in authentic data and statistical practices can serve as gateways to this disciplinary culture. However, it is unclear what actual procedures and techniques the learners of today would actually need as the citizens of tomorrow, because of frequent innovations in the Data Sciences. Furthermore, data and statistical practices are often inaccessible due to the complex mathematics (and probability) they require. The latter is particularly true for young (elementary school) students. Successfully raising the accessibility of some of the formal practices to young students can greatly inform how to similarly raise the accessibility of the practice to other novices.<\/p>\n\n
This virtual seminar will focus on a core statistical practice, statistical modeling, whose pedagogical potential has been the subject of increased interest in statistics education research. Inspired by how the informal adaptation of the practice of formulating a statistical inference (Informal Statistical Inference, ISI) has raised its accessibility, we suggest a corollary: the practice of constructing, evaluating and refining Informal Statistical Models (ISMs). As a proof of concept, we will also examine together several examples of how young learners can construct and reason with ISMs, as they engage in a unique activity sequence. We will then discuss the potential generalizability of these examples, and how they can inform future research, teaching and curriculum design, that will further raise the accessibility of statistical modelling.<\/p>\n\n
Bio<\/b><\/p>\n\n
Dr. Michal Dvir is a postdoctoral fellow in the Education in Science and Technology Faculty at the Technion Israel Institute of Technology, under the guidance of Dr. Dina Tsybulsky. Her PhD dissertation focused on young students\u2019 reasoning with Informal Statistical Models and modeling, under the supervision of Prof. Dani Ben-Zvi, in the Mathematics Education Department at the University of Haifa. Her background is in abstract mathematics. Her thesis on young learners\u2019 statistical reasoning received the University of Haifa Rector award. Based on her achievements in her doctorate research, she was part of the prestigious Azrieli Fellowship Program promoting academic excellence and leadership.<\/p>\n","editable":false,"start":"2022-04-11","allDay":true,"end":"2022-04-12","backgroundColor":"#faca73"},{"title":"21st Workshop on Stochastic Geometry, Stereology and Image Analysis","id":"257-0","eid":"2169","url":"\/events\/node-2169","des":"
21st Workshop on Stochastic Geometry, Stereology and Image Analysis<\/a><\/h2>\n
<\/p>\n\n
Next workshop in the series of biannual Workshops on Stochastic Geometry, Stereology and Image Analysis.<\/p>\n","editable":false,"start":"2022-06-05","allDay":true,"end":"2022-06-11","backgroundColor":"#ffffff"},{"title":"IASS Webinar 20: Adjusting for Selection Bias in the Voluntary Sample of the 2021 Lithuanian Census","id":"258-0","eid":"2170","url":"\/events\/node-2170","des":"
IASS Webinar 20: Adjusting for Selection Bias in the Voluntary Sample of the 2021 Lithuanian Census<\/a><\/h2>\n
View the recording<\/p>\n\n
The sample of the Statistical survey on population by ethnicity, native language and religion 2021 consists of the voluntary sample and the probability sample drawn from the rest of the census population. A natural post-stratified calibrated estimator underestimates minor religions and other small proportions of interest. Alternatively, to correct the selection bias of estimates based on the non-probability sample, we fit a model for propensity scores using the demographic and socioeconomic data and information from the previous complete census. Then we combine the inverse probability weighted and doubly robust estimators with post-stratified calibrated estimators. The total sample size of the survey is not sufficient to derive accurate direct estimates of the proportions in small domains like municipalities. We apply robust design-based composite estimators which exploit domain-level information on the study variables from the previous census.<\/p>\n","editable":false,"start":"2022-08-31","allDay":true,"end":"2022-09-01","backgroundColor":"#333333"},{"title":"IASS Webinar 23: Bridging Big Data and Sampling Methodology: What is "big" and where is the "bridge"","id":"259-0","eid":"2171","url":"\/events\/node-2171","des":"
IASS Webinar 23: Bridging Big Data and Sampling Methodology: What is "big" and where is the "bridge"<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
While the BigData-native statistical community is growing larger, sampling statisticians seem to grow divided between enthusiastic and worried. Is BigData also a big step ahead to extract trustful information and actual knowledge from data? Is BigData underplaying sampling theory? Supplanting it as a low-cost futuristic option? In this webinar I shall try and decipher the multifaceted relationship connecting BigData and Sampling methodology, starting with the blurry definition of BigData, discussing the non-probabilistic data generating mechanism, passing through different kind of data, of application contexts and goals, to end with some very personal considerations and views.
\n\u00a0<\/p>\n","editable":false,"start":"2022-11-30","allDay":true,"end":"2022-12-01","backgroundColor":"#333333"},{"title":"Data Science Year at the UDP 2022","id":"260-0","eid":"2175","url":"\/events\/node-2175","des":"
Data Science Year at the UDP 2022<\/a><\/h2>\n
<\/p>\n\n
$\"\"$ <\/p>\n\n
Data Science has become an essential tool in the training of today\u2019s professionals. Technological development \u2013especially the digitalization of all systems\u2014has enabled the generation, capture, storage, and processing of large amounts of data in all areas. With applications from telecommunications to medicine, health, and neuroscience, going through energy, transport and logistics, environment and climate change, agriculture, earth sciences, astronomy and physics, demography, social networks, economy, marketing and product consumption management, the data deluge is just around the corner.<\/p>\n\n
Data Science is an interdisciplinary field that combines knowledge from different disciplines such as computational statistics, mathematical programming, and computer science, to generate value and benefits to society from the data analysis. To systematize the use and analysis of data and develop the essential skills and competencies in future professionals is a challenge that has to be addressed by higher educational institutions.<\/p>\n\n
The School of Industrial Engineering is commemorating a Data Science Year in 2022. As part of this activity, we are organizing a series of virtual seminars with renowned exponents in the discipline. The main objectives are to engage and to involve our students, researchers, and practitioners in the data science arena by creating a space to learn and discuss multiple topics associated with this discipline and its applications. We invite you to join us!<\/p>\n","editable":false,"start":"2022-04-20","allDay":true,"end":"2022-05-08","backgroundColor":"#0000af"},{"title":"6th International Symposium of Researchers, Statisticians and Young Statisticians (IRSYSC2022)","id":"261-0","eid":"2176","url":"\/events\/node-2176","des":"
6th International Symposium of Researchers, Statisticians and Young Statisticians (IRSYSC2022)<\/a><\/h2>\n
Antalya, T\u00dcRK\u0130YE<\/p>\n\n
$\"\"$ <\/p>\n\n
The aim of the symposium is to bring together national and international academics, researchers, undergraduates and graduate students dedicated to Statistics and all other related fields. The participants will have the opportunity to present their work and to share scientific research, innovative ideas and application results with the scientific world<\/p>\n","editable":false,"start":"2022-11-03","allDay":true,"end":"2022-11-07","backgroundColor":"#ffffff"},{"title":"Conference on Stochastic Analysis and Stochastic Partial Differential Equations","id":"262-0","eid":"2183","url":"\/events\/node-2183","des":"
Conference on Stochastic Analysis and Stochastic Partial Differential Equations<\/a><\/h2>\n
Barcelona, Spain<\/p>\n\n
The goals of this conference are to bring together internationally renowned researchers working on various topics related to stochastic analysis and, particularly, to the theory and applications of stochastic partial differential equations, and to expose and attract graduate students and young researchers to this steadily growing area. The conference is organized in honour of Professor Marta Sanz-Sol\u00e9.<\/p>\n","editable":false,"start":"2022-05-30","allDay":true,"end":"2022-06-04","backgroundColor":"#ffffff"},{"title":"ISBA 2022 World Meeting","id":"263-0","eid":"2202","url":"\/events\/node-2202","des":"
ISBA 2022 World Meeting<\/a><\/h2>\n
Montreal, Canada<\/p>\n\n
In June 2022 Montreal will be the center of Bayesian thinking in the world as we celebrate the 30-year anniversary of ISBA. The purpose of the meeting is to bring together the diverse international community of investigators in statistics who develop and use Bayesian methods to share recent findings and to present new and challenging problems. Montreal is a city where the world comes to meet and share ideas, a city that attracts talent from around the world and is known for the warm welcome it extends to visitors.<\/p>\n","editable":false,"start":"2022-06-26","allDay":true,"end":"2022-07-02","backgroundColor":"#ffffff"},{"title":"5th International Conference on Econometrics and Statistics","id":"264-0","eid":"2203","url":"\/events\/node-2203","des":"
5th International Conference on Econometrics and Statistics<\/a><\/h2>\n
Hybrid Conference, Kyoto, Japan<\/p>\n\n
The programme is now ready. It is composed of over 200 sessions comprising about 770 presentations.
\nThe full programme and list of participants are available here<\/a>.\u00a0<\/p>\n\n
Posters and selected short talks<\/a> will still be considered until the free slots are filled.<\/p>\n\n
Keynote Speakers:<\/p>\n\n
\n\t
Kenneth D West, University of Wisconsin, United States.<\/li>\n\t
Yasuhiro Omori, University of Tokyo, Japan.<\/li>\n\t
Jeng-Min Chiou, Academia Sinica, Taiwan.<\/li>\n<\/ul>\n\n
Co-Chairs:<\/p>\n\n
\n\t
Monica Billio,<\/li>\n\t
Masayuki Hirukawa,<\/li>\n\t
Xinyuan Song,<\/li>\n\t
Toshiaki Watanabe.<\/li>\n<\/ul>\n\n
A virtual tutorial given by Prof. Yasuhiro Omori<\/a> has been organized for the 3rd of June.<\/p>\n\n
Main sponsors:<\/p>\n\n
\n\t
Journal of \u201cEconometrics and Statistics\u201d, Elsevier<\/a><\/li>\n\t
Journal of \u201cComputational Statistics & Data Analysis\u201d, Elsevier<\/a><\/li>\n<\/ul>\n\n
\u00a0EcoSta 2022 complements the CFE-CMStatistics 2022, which will take place at King’s College London, 17-19 December 2022.<\/p>\n","editable":false,"start":"2022-06-04","allDay":true,"end":"2022-06-07","backgroundColor":"#ffffff"},{"title":"Building strong Integrated National Data Systems to transform people\u2019s lives","id":"265-0","eid":"2204","url":"\/events\/node-2204","des":"
Building strong Integrated National Data Systems to transform people\u2019s lives<\/a><\/h2>\n
Watch the recording<\/p>\n\n
9:00 a.m. \u2013 10:30 a.m. EST, June 15, 2022<\/a><\/p>\n\n
Virtual link to the event<\/strong><\/a><\/p>\n\n
Data are becoming an integral part of the daily lives of most people around the world, with global data\u00a0flows increasing one thousand times over the last 20 years. The transformations emerging from this data\u00a0revolution could impact all aspects of societies and economies, including improving the lives of the more\u00a0than 700 million people living in extreme poverty. From information gathered in household surveys to\u00a0pixels captured by satellite images, data can inform policies and spur economic activity, serving as a\u00a0powerful weapon in the fight against poverty and transforming the lives of poor people. However, we\u00a0can only unlock the full value of data in both traditional and new data ecosystems if we ensure that data\u00a0can be safely shared, used, and reused by all stakeholders.<\/p>\n\n
To that end, the World Bank\u2019s World Development Report 2021<\/a>: Data for Better Lives (WDR2021) offers an aspirational vision of an integrated national data system (INDS) as a way for countries to realize the\u00a0potential of data for development, using the three principles of the social contract for data value, trust\u00a0and equity. Such a system relies on an approach to data governance that is intentional, whole-of-
\ngovernment, multi stakeholder, and collaborative. It explicitly builds data production, protection,\u00a0exchange, and use into planning and decision-making and integrates participants from civil society and\u00a0the public and private sectors into the data life cycle and into the governance structures of the system.\u00a0For countries to overcome the many barriers that stand in the way of implementing these data systems, the report advocates for investments in five foundational elements: human capital, trust, funding,\u00a0incentives, and data demand.<\/p>\n\n
To help operationalize this vision, the World Bank\u2019s Development Data Group<\/a> is organizing a virtual\u00a0seminar in collaboration with the International Association of Official Statistics<\/a> (IAOS). Bringing together\u00a0a diverse group of discussants, the session will focus on building an INDS and the critical role NSOs can\u00a0play in this process, which the WDR2021 extensively discusses.<\/p>\n\n
Context:<\/h3>\n\n
In the current global context of an unprecedented convergence of crises, fulfilling the vision of an INDS\u00a0might seem elusive. While a recent global survey on national statistical offices (NSOs) 1 attested to the\u00a0resilience of NSOs amidst the COVID-19 pandemic, it has also revealed a disrupted global agenda on\u00a0statistical capacity building and that some statistical systems are falling behind, particularly in low- and\u00a0middle-income economies. For many governments, producing high-quality data is already a challenge in\u00a0itself, and thus, data exchanges and integration among various partners may not seem feasible.\u00a0Nevertheless, according to the WDR2021, any country can take steps toward fulfilling the vision of an\u00a0INDS. Using the data maturity model, the report describes the concrete steps countries can take to\u00a0move closer to this vision. The data maturity model is used as an organizing framework to help\u00a0determine the strengths and weaknesses of the existing data system and identify the sequential steps\u00a0that can be taken to establish an INDS. The model differentiates three stages. At low levels of data\u00a0maturity, countries should prioritize establishing the fundamentals of a national data system. Once the
\nfundamentals are in place, countries should seek to initiate data flows. At advanced levels of data\u00a0maturity, the goal is to optimize the system.<\/p>\n\n
Target audience:<\/h3>\n\n
The international statistical community, both statistics producers and users from across the globe, as\u00a0well as relevant private sector representatives.<\/p>\n\n
Format:<\/h3>\n\n
The event will be 90 minutes long in a virtual panel discussion format, featuring a diverse group of\u00a0discussants.<\/p>\n\n
Subject areas:<\/h3>\n\n
A diverse group of leading members of the development, statistics, and data communities will unpack\u00a0several foundational elements of an INDS\u2014such as human capital, trust, funding, incentives, and data\u00a0demand\u2014and discuss the type of coordination and partnerships needed to advance the implementation\u00a0of INDS.<\/p>\n\n
Objective:<\/h3>\n\n
The event aims to help operationalize the vision of an INDS as put forward by the WDR2021 by:<\/p>\n\n
\n\t
raising awareness about and promoting the concept of an INDS among an international group of\u00a0relevant stakeholders who have the technical capacity to move their national data systems\u00a0closer to this aspirational vision in their country contexts;<\/li>\n\t
focusing on priority-setting by these technical participants to inform support from\u00a0IFIs\/Foundations\/technical implementers; and<\/li>\n\t
raising awareness about and promoting the concept of an INDS among an international group of\u00a0relevant private sector stakeholders to encourage public-private partnerships on data.<\/li>\n<\/ul>\n\n
The panel discussion will illustrate the vision of an INDS with specific, real-life examples in an effort to\u00a0concretize an abstract concept for participants.<\/p>\n\n
Expected outcomes:<\/h3>\n\n
Seminar attendees will leave the session with:<\/p>\n\n
\n\t
an enhanced awareness and concretized understanding of how an INDS can be established and operationalized, as illustrated by concrete examples;<\/li>\n\t
an appreciation for the (economic, social, and political) benefits of an INDS, as illustrated by\u00a0concrete examples;<\/li>\n\t
a determination to advocate for establishing an INDS in their respective country\/regional contexts with relevant stakeholders with decision-making authority;<\/li>\n\t
a familiarity with resources (including materials and contacts) for further exploration of the\u00a0concept of an INDS as applicable to their respective country contexts.<\/li>\n<\/ul>\n\n
List of speakers<\/strong>:<\/p>\n\n
\n\t
Dr. Misha Belkindas<\/strong> (chair): President, IAOS; Managing Director, ODW Consulting; co-founder and\u00a0board member of Open Data Watch; former Manager, World Bank\u2019s Development Data Group<\/li>\n\t
Prof. Paul Cheung<\/strong> (discussant): Director of Asia Competitiveness Institute, National University of\u00a0Singapore; former Professor of Social Policy and Analytics, National University of Singapore; former Director, UNSD; former Chief Statistician, Government of Singapore<\/li>\n\t
Mr. Andrew Rzepa<\/strong> (discussant): Global Managing Partner, Gallup<\/li>\n\t
Dr. Albina Chuwa<\/strong>, Director General, National Bureau of Statistics, Tanzania<\/li>\n\t
Mr. Craig Hammer<\/strong> (discussant): Program Manager, World Bank\u2019s Development Data Group<\/li>\n\t
Ms. Malarvizhi Veerappan<\/strong> (WDR2021 presenter): Manager, World Development Report 2021 |\u00a0Senior Data Scientist, World Bank\u2019s Development Data Group<\/li>\n<\/ul>\n\n
Agenda:<\/strong><\/p>\n\n
\n\t
Opening remarks by Dr. Misha Belkindas<\/strong> (welcoming participants, explaining the agenda, and\u00a0introducing house rules)\u00a0<\/li>\n\t
Background\/scene-setting presentation by Ms. Malarvizhi Veerappan<\/strong>, introducing the WDR2021\u00a0and key recommendations on an INDS to set the context for the panel discussion<\/li>\n\t
Panel discussion with Prof. Paul Cheung<\/strong>, Mr. Andrew Rzepa<\/strong>, Dr. Albina Chuwa<\/strong>\u00a0and Mr. Craig Hammer<\/strong> on\u00a0the basis of pre-formulated discussion questions<\/li>\n\t
Q&A with audience<\/li>\n\t
Closing remarks by Dr. Misha Belkindas<\/strong><\/li>\n<\/ol>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-06-15","allDay":true,"end":"2022-06-16","backgroundColor":"#0070bc"},{"title":"Using the R\/exams package for an efficient workflow to design, produce and mark online assessments while safeguarding the academic integrity","id":"266-0","eid":"2205","url":"\/events\/node-2205","des":"
Using the R\/exams package for an efficient workflow to design, produce and mark online assessments while safeguarding the academic integrity<\/a><\/h2>\n
View the recording<\/p>\n\n
Workshop time<\/strong>: 12 May 2022; 08:00 UTC (click here<\/a> for localized date\/time)<\/p>\n\n
The session will run for 90 minutes.\u00a0<\/p>\n\n
Presenter: Jaslene Lin - Australia<\/strong><\/p>\n\n
The International Association for Statistical Education<\/a> (IASE) presents our May webinar. Jaslene Lin, Macquarie University is presenting, and we welcome you all to join us. \u00a0We also ask you to share this invitation with high school statistics teachers and other statistics education networks in your country. We welcome IASE and non-IASE members to the session.\u00a0<\/p>\n\n
Details about the webinar are below and on our webinar page<\/a>.\u00a0<\/p>\n\n
While noting many innovative teaching opportunities associated with hybrid course delivery, it has sparked many challenges. One of them is safeguarding academic integrity when assessing student learning in a virtual environment, particularly significant for first-year courses with large student enrolment. A flow-on challenge is to provide timely and constructive feedback to students after each assessment. As a result, it calls for a reproducible process to streamline the generation of online tests that tackle the above two challenges.<\/p>\n\n
This virtual webinar will introduce an open-source R\/exams package written in R programming language to automatically generate a range of exercise types with various output formats. More specifically, it will demonstrate how to create classes of questions, including single correct answers, multiple correct answers, numeric answers and strings in the context of a first-year introductory statistics unit. In addition, it will demonstrate how to import the output in the format of XLM to Moodle, a Learning Management System (LMS) commonly used by universities worldwide. This virtual webinar is organised to be a hands-on workshop where a brief walkthrough of the key features of the R\/exams package is presented, followed by an interactive session where participants get to play around with the package. The webinar will conclude with a joint discussion to share your feedback, insights and brainstorm to improve university assessment practices.<\/p>\n\n
Specific requirements for participants<\/strong><\/p>\n\n
This webinar welcomes researchers and academics working in the fields associated with enhancing learning and teaching through the pedagogical use of technologies, such as R\/exams package. It would be particularly beneficial for those who have some R-coding proficiency. There is a hands-on session for you to experience first-hand how this package works to serve your assessment purposes.<\/p>\n\n
The webinar will provide an exercise sheet to facilitate you.<\/p>\n\n
Most importantly, come with an open mind, and we can explore and discuss your experience in university assessment practices for online delivery.<\/p>\n\n
Bio<\/strong><\/p>\n\n
Dr Huan (Jaslene) Lin<\/strong> is a lecturer in statistics (teaching and leadership focused) at the School of Mathematical and Physical Sciences at Macquarie University. She graduated with a PhD in statistics focused on symbolic data analysis from the University of New South Wales in 2018. She spent two years working as a foundation fellow at the Melbourne Institute of Applied Economics and Social Research at the University of Melbourne before joining Macquarie University in late 2020. Despite being new to lecturing at university, she has concentrated on developing scholarly teaching and learning, first by obtaining a Graduate Certificate of Education with a first-in-course award in the Educational Assessment. She looks forward to forging collaborations with like-minded academics and educators to promote scholarship in university teaching.<\/p>\n","editable":false,"start":"2022-05-12","allDay":true,"end":"2022-05-13","backgroundColor":"#faca73"},{"title":"Symposium and Honorary Doctorate awarded to Ingrid Van Keilegom at UDC","id":"267-0","eid":"2206","url":"\/events\/node-2206","des":"
Symposium and Honorary Doctorate awarded to Ingrid Van Keilegom at UDC<\/a><\/h2>\n
Galicia, Spain<\/p>\n\n
On June 16, 2022, Professor Ingrid Van Keilegom (KU Leuven, Belgium) will be awarded an Honorary Doctorate by the University of A Coru\u00f1a (UDC), Galicia, Spain. The ceremony will take place in the auditorium of the UDC rectorate. Taking advantage of this event, a symposium will be held the day before (June 15, 2022). This International Symposium on Recent Advances in Statistics, in Honor of Ingrid Van Keilegom, is organized by the research group MODES, Department of Mathematics, UDC. Eight invited speakers, including Ingrid herself, who have collaborated with her, will present some work related to Ingrid\u2019s own research.<\/p>\n\n
For registration and any other relevant information about this symposium please visit the website<\/a>.<\/p>\n","editable":false,"start":"2022-06-16","allDay":true,"end":"2022-06-17","backgroundColor":"#ffffff"},{"title":"Statistical Computing Using Emergency Nutrition Asseessment (Ena For Smart) Software: Smart Methodology","id":"268-0","eid":"2207","url":"\/events\/node-2207","des":"
Statistical Computing Using Emergency Nutrition Asseessment (Ena For Smart) Software: Smart Methodology<\/a><\/h2>\n
Webinar recording<\/p>\n\n
$\"\"$ <\/p>\n\n
Summary<\/strong>
\nIn this webinar, we shall give an over view of a cross-sectional survey using a cluster sampling technique. Thereafter, an insight into the use of ENA for SMART software (updated version 2020) as deployed in a Nutrition and Retrospective Mortality surveys would be presented as a standard, simplified, cross-sectional field survey method designed to aid the collection of quality, up-to-date and timely nutrition data; and necessary for decision-making. This methodology will harmonize methods for nutrition assessments, especially during emergencies and it is important that Statisticians who are interested in their in-country National Health Statistical System, can begin to partner with National and International Non-governmental Organizations (N & INGOs) and United Nations (UN) agencies to expand the use of the SMART methodology, in conducting nutrition surveys, both in emergency and development contexts.<\/p>\n\n
During the webinar, the interest and curiosity of Statisticians and other participants toward strengthening the Nutrition Information System (NIS) in their countries, including conducting nutrition surveys on a more regular basis would be awakened; and in the long run, it would help to address the current shortage of qualified SMART survey manager and Master trainers globally who are Statisticians. This first series of our webinar, would dwell (to a reasonable extent) on pre-viewing the software ENA for SMART (updated version 2020), the usefulness of Anthropometric measures, Confidence Intervals and Z-score in the survey. We shall also briefly give an over view of acute malnutrition, checklist for conducting the nutrition survey and practical instances where we have conducted the survey.<\/p>\n\n
Date:Friday 24th, June 2022.
\nTime: 2:30pm-4:00pm CEST (check your own time zone<\/a>)
\nDuration: 90 minutes<\/p>\n","editable":false,"start":"2022-06-24","allDay":true,"end":"2022-06-25","backgroundColor":"#2e2d5e"},{"title":"International Conference Use of R in Official Statistics uRos2022","id":"269-0","eid":"2210","url":"\/events\/node-2210","des":"
International Conference Use of R in Official Statistics uRos2022<\/a><\/h2>\n
<\/p>\n\n
$\"\"$ <\/p>\n\n
We are cordially inviting you to submit papers to and attend the International Conference The Use of R in Official Statistics \u2013 uRos2022 until 16th of September 2022.<\/p>\n\n
There will be two kind of presentations: \u201cregular presentations\u201d with roughly 15 minutes time slots and \u201clighting presentations\u201d with 5 minutes time slots and automatic cycling through the slides. Please indicate your preference, but the scientific committee will finally assign the presentations into the two categories.<\/p>\n\n
The purpose of the conference is to provide a public forum for researchers from academia and institutes of official (government) statistics to present, exchange ideas and discuss developments in state-of-the-art statistical software commonly used in applied economics and statistics. The most focused debates are expected to be on the use of R in Official Statistics.<\/p>\n\n
In 2022, we are delighted to announce that the 10th uRos, the first non-European uRos, will be hosted by Statistics Canada, as a virtual event.<\/p>\n","editable":false,"start":"2022-12-06","allDay":true,"end":"2022-12-09","backgroundColor":"#ffffff"},{"title":"Spatial Statistics 2023: Climate and the Environment","id":"270-0","eid":"2218","url":"\/events\/node-2218","des":"
Spatial Statistics 2023: Climate and the Environment<\/a><\/h2>\n
University of Colorado Boulder, USA<\/p>\n\n
$\"\"$ <\/p>\n\n
The conference will provide a forum to debate and discuss how to use spatially referenced data to advance our understanding and provide support for decision making in the domain of Earth system dynamics.<\/p>\n","editable":false,"start":"2023-07-18","allDay":true,"end":"2023-07-22","backgroundColor":"#ffffff"},{"title":"Statistical Learning Projects in Basic and Higher Education","id":"271-0","eid":"2222","url":"\/events\/node-2222","des":"
Statistical Learning Projects in Basic and Higher Education<\/a><\/h2>\n
Register here<\/p>\n\n
Projetos de Aprendizagem Estat\u00edsticos na Educa\u00e7\u00e3o B\u00e1sica e Superior | Statistical Learning Projects in Basic and Higher Education | Proyectos de Aprendizaje Estad\u00edstico en la Educaci\u00f3n B\u00e1sica y Superior<\/h2>\n\n
The presentation will be primarily in Portuguese. Slides will include a mix of Portuguese, English and Spanish and connections will be made to all three. There will be opportunities for discussion in language breakout rooms during the presentation.<\/em><\/p>\n\n
See the webinars page<\/a> for full statements in all three languages.\u00a0<\/p>\n\n
This Webinar gathers and synthesizes practices to promote the learning of Statistics developed in my academic trajectory, from more than twenty years of university experiences, as well as in the training of teachers for Basic Education. It starts with a love for Mathematics, followed by a passion for Teaching, and culminates in an enchantment for Statistics. These feelings stem from the understanding that the teacher is a subject who guides people’s learning, based on their knowledge, and is not a mere holder of knowledge.<\/p>\n\n
Dr. Mauren Porci\u00fancula<\/h3>\n\n
Dr. Mauren Porci\u00fancula is an Associate Professor at the Federal University of Rio Grande \u2013 FURG, where she works with Undergraduate, Postgraduate, Research and Extension Education in Statistical Education. She is Productivity and Technological Development and Innovative Extension \u2013 DT \/ CNPq and Leader of the Research Group on Statistical Education-EduEst and of the International Interdisciplinary Research Group on Statistical Education \u2013 GIIPEE \/ FURG \/ CNPq.<\/p>\n\n
Starting at: 21 June 2022 at 11 PM CEST (please check your own time zone here<\/a>)<\/p>\n","editable":false,"start":"2022-06-21","allDay":true,"end":"2022-06-22","backgroundColor":"#faca73"},{"title":"The Statistics Wars and Their Casualties","id":"272-0","eid":"2223","url":"\/events\/node-2223","des":"
The Statistics Wars and Their Casualties<\/a><\/h2>\n
London School of Economics (CPNSS), UK<\/p>\n\n
$\"\"$ <\/p>\n\n
The conference (after pandemic postponements!) will be held 22-23 September at the London School of Economics, room to be assigned.<\/p>\n\n
Please see our website for the list of speakers.<\/p>\n\n
Description: While the field of statistics has a long history of passionate foundational controversy the last decade has, in many ways, been the most dramatic. Misuses of statistics, biasing selection effects, and high powered methods of Big-Data analysis, have helped to make it easy to find impressive-looking but spurious, results that fail to replicate. As the crisis of replication has spread beyond psychology and social sciences to biomedicine, genomics and other fields, people are getting serious about reforms. Many are welcome (preregistration, transparency about data, eschewing mechanical uses of statistics); some are quite radical. The experts do not agree on how to restore scientific integrity, and these disagreements reflect philosophical battles\u2013old and new\u2013 about the nature of inductive-statistical inference and the roles of probability in statistical inference and modeling. These philosophical issues simmer below the surface in competing views about the causes of problems and potential remedies. If statistical consumers are unaware of assumptions behind rival evidence-policy reforms, they cannot scrutinize the consequences that affect them (in personalized medicine, psychology, law, and so on). Critically reflecting on proposed reforms and changing standards requires insights from statisticians, philosophers of science, psychologists, journal editors, economists and practitioners from across the natural and social sciences. This conference\/workshop will bring together these interdisciplinary insights\u2013from speakers as well as attendees.<\/p>\n","editable":false,"start":"2022-09-22","allDay":true,"end":"2022-09-24","backgroundColor":"#ffffff"},{"title":"BNU Workshop on Survey Statistics 2022","id":"273-0","eid":"2224","url":"\/events\/node-2224","des":"
BNU Workshop on Survey Statistics 2022<\/a><\/h2>\n
Tartu, Estonia<\/p>\n\n
The Baltic-Nordic-Ukrainian (BNU) Workshop on Survey Statistics
\n23-26 August 2022, Tartu, Estonia<\/strong><\/p>\n\n
The Workshop is of hybrid type connecting in-person participation in Tartu with free online participation via Zoom.<\/p>\n\n
Keynote speakers: Jean-Fran\u00e7ois Beaumont, Maria del Mar Rueda, Carl-Erik S\u00e4rndal, Li-Chun Zhang.<\/p>\n\n
Topics cover recent advances in survey and official statistics theory and practice, including model-assisted and calibration methods, data integration, non-probability surveys and population statistics.<\/p>\n\n
Registration<\/a><\/p>\n\n
Early bird registration (lower fee) by 13 June 2022.
\n\u00a0<\/p>\n","editable":false,"start":"2022-08-23","allDay":true,"end":"2022-08-27","backgroundColor":"#ffffff"},{"title":"IASS Webinar 21: Design-based analysis of experiments embedded in probability samples","id":"274-0","eid":"2225","url":"\/events\/node-2225","des":"
IASS Webinar 21: Design-based analysis of experiments embedded in probability samples<\/a><\/h2>\n
Register for this webinar<\/p>\n\n
The fields of randomized experiments and probability sampling are traditionally two separated domains of applied statistics. Both fields share one similarity, which makes them unique from other areas of statistics: design plays a crucial role in this type of empirical research.\u00a0 While design of randomized experiments is traditionally focused on establishing the causality between differences in treatments and observed effects (internal validity), design of probability samples is focused on generalizing results observed in a small sample to an intended target population (external validity). Many experiments conducted with the purpose to improve survey methods are small scaled or conducted with specific groups. The value of empirical research into survey methods is strengthened as conclusions can be generalized to populations larger than the sample that is included in the experiment. This can be achieved by selecting experimental units randomly from a larger target population and naturally leads to randomized experiments embedded in probability samples. This results in experiments that potentially combine the strong internal validity from randomized experiments with the strong external validity of probability sampling. Generalizing conclusions observed in an experiment to a larger target population can be achieved with a design-based inference framework known from sampling theory. In this\u00a0webinar\u00a0a general design-based framework for the analysis of single factor and factorial randomized experimental designs embedded in general complex probability samples is presented. Methods are illustrated with real life applications conducted at Statistics Netherlands.<\/p>\n","editable":false,"start":"2022-09-22","allDay":true,"end":"2022-09-23","backgroundColor":"#333333"},{"title":"IASS Webinar 19: Substitution of Nonresponding Units in Probability Sampling","id":"275-0","eid":"2226","url":"\/events\/node-2226","des":"
IASS Webinar 19: Substitution of Nonresponding Units in Probability Sampling<\/a><\/h2>\n
Recording<\/p>\n\n
Substitution of a nonresponding unit with one not originally selected in the sample is a commonly used method for dealing with unit nonresponse. Although frequently used in practice, substitution is largely neglected in the survey sampling literature. To date, few studies have attempted to develop a formal framework for describing and evaluating substitution methods, and little research has been done to improve estimates obtained through the use of substitution as a nonresponse adjustment procedure. In this presentation, I will show results from simulation and empirical studies conducted to enhance our understanding of substitution methods and present new procedures to improve them.<\/p>\n","editable":false,"start":"2022-07-27","allDay":true,"end":"2022-07-28","backgroundColor":"#333333"},{"title":"Seminar: Statistical and Machine Learning Approaches to Solar Flare Forecasting","id":"276-0","eid":"2246","url":"\/events\/node-2246","des":"
Seminar: Statistical and Machine Learning Approaches to Solar Flare Forecasting<\/a><\/h2>\n
Register here<\/p>\n\n
Speaker<\/strong>: Prof. Yang Chen, University of Michigan, Ann Arbor, USA<\/p>\n\n
Date<\/strong>: Wednesday June 29, 2022, at 11.30 CLT (check here your own time zone<\/a>)<\/p>\n\n
Abstract<\/strong>: Solar flare prediction is an important task, which impacts national power grid\u00a0robustness, satellite signal stability, and safety of astronauts\u2019 exploration of space. In recent years,\u00a0the solar flare prediction problem has caught more attention among the machine learning and\u00a0statistics community. In this talk, I will give an introduction on our efforts on solar flare
\nforecasting with existing and innovative machine learning and statistical models. We obtain\u00a0highly competitive results for flare forecasting with highly interpretable models, which\u00a0contributes both to operational use and the science itself.<\/p>\n","editable":false,"start":"2022-06-29","allDay":true,"end":"2022-06-30","backgroundColor":"#2e2d5e"},{"title":"Signal and Noise - Hotspots Jump Out of the Norm","id":"277-0","eid":"2247","url":"\/events\/node-2247","des":"
Signal and Noise - Hotspots Jump Out of the Norm<\/a><\/h2>\n
Register here<\/p>\n\n
Speaker<\/strong>:\u00a0Eunice Kim, Data Scientist at Microsoft, USA<\/p>\n\n
Date<\/strong>: Wednesday July 13, 2022, at 11.30 am CLT (check here your own time zone<\/a>)<\/p>\n\n
Abstract<\/strong>: Humans easily detect something that is out of the ordinary. That presupposes that we\u00a0establish a norm, have some measurements and\/or a detectable (visual, aural, or olfactory) aid to\u00a0understand what we experience and observe. How do statistics and data science come into play\u00a0when there is a need to detect anomalies and provide a response to the anomalies? What are the\u00a0conditions given? How do we set up the problem when we have little knowledge of the domain?
\nI draw examples from my work and share what I have found to be necessary for analysis and\u00a0collaboration.<\/p>\n","editable":false,"start":"2022-07-13","allDay":true,"end":"2022-07-14","backgroundColor":"#2e2d5e"},{"title":"7th International French-speaking Conference on Teaching Statistics (CFIES 2022)","id":"278-0","eid":"2250","url":"\/events\/node-2250","des":"
7th International French-speaking Conference on Teaching Statistics (CFIES 2022)<\/a><\/h2>\n
Rennes, France<\/p>\n\n
$\"\"$ <\/p>\n\n
The 7th International French-speaking Conference on Teaching Statistics (CFIES) will be held in Rennes, France, from 23 to 25 November 2022.<\/p>\n\n
The objective of this 3-day conference is to bring together teachers and researchers from the disciplines concerned (mathematics, educational sciences, knowledge engineering, computer science). The main themes this year are \u201cstatistical and digital education\u201d and \u201ccompetency-based education\u201d.<\/p>\n\n
Registration for the conference is now open. All relevant information may be found on the website<\/a>.<\/p>\n","editable":false,"start":"2022-11-23","allDay":true,"end":"2022-11-26","backgroundColor":"#ffffff"},{"title":"IASS Webinar 22: Hukum Chandra prize 2022: Small area estimation: a novel approach on estimation of mean squared prediction error of small-area predictors","id":"279-0","eid":"2251","url":"\/events\/node-2251","des":"","editable":false,"start":"2022-10-26","allDay":true,"end":"2022-10-27","backgroundColor":"#333333"},{"title":"Business Production Networks Analysis Webinars","id":"280-0","eid":"2253","url":"\/events\/node-2253","des":"
Business Production Networks Analysis Webinars<\/a><\/h2>\n
Online<\/p>\n\n
\n
\u00a0<\/h2>\n\n
Compiling and using production network datasets to better quantify the complex national, international and global economic phenomena<\/p>\n<\/section>\n\n
\n
The challenges that the modern world faces - such as climate change, the need for an energy transition, disturbances in supply chains \u2013 show with increasing clarity their interconnectedness on the global level. Solving these problems is difficult, not just because of their scale but also because of their complex nature: improvements in one area may lead to deterioration in another. To quantify and act on these challenges, methodologies that can handle this complexity are crucial.<\/p>\n\n
Firm level (business level) production networks analysis is a methodology that has been developing in the last decade and is now reaching maturity as an innovative approach to dealing with these complex phenomena.<\/p>\n\n
The webinar series will demonstrate the suitability of the business production networks approach to depict the modern economic complexity better. It will introduce techniques for compiling business network datasets as well as methods and tools for analysing them. Examples will be given of National Statistical Institutes (NSIs) compiling such datasets and of policy makers and academic researchers applying them for better understanding the economic relations at the national, international and global levels.<\/p>\n\n
The webinar series will be given on five half-days this Autumn<\/strong> (see further below), covering the topics:<\/p>\n\n
\n\t
I: Case studies of successfully applying business production networks methodology to modern day economic problems<\/li>\n\t
II: Sources, methods and practical examples of NSIs compiling business production network data at the national level<\/li>\n\t
III: Applications and indicators to reap the benefits from the basic datasets<\/li>\n\t
IV: Compiling and using business network data at the international (e.g. EU, etc) level<\/li>\n\t
V: Discussion of possible next steps and setting up of potential collaborations<\/li>\n<\/ul>\n\n
The webinar series is aimed at methodologists, researchers and decision makers at NSIs, international statistical bodies, academia, and national and international economic policy institutes.<\/p>\n<\/section>\n\n
5 webinars by European experts.\u00a0Confirmed speakers include:<\/p>\n\n
\n\t
Andr\u00e1s Borsos (Central Bank of Hungary & CSH Vienna)<\/li>\n\t
Gert Buiten (Statistics Netherlands)<\/li>\n\t
Vasco Carvalho (Cambridge University)\u00a0<\/li>\n\t
Diego Garlaschelli (Leiden University; Lucca)<\/li>\n\t
Edwin de Jonge (Statistics Netherlands)<\/li>\n\t
Fran\u00e7ois Lafond (Oxford University)<\/li>\n\t
Glenn Magerman (Brussels University)<\/li>\n\t
Victor Meirinhos (ONS UK)<\/li>\n\t
Andreas Moxnes (Oslo University)<\/li>\n\t
Frank Pijpers (Statistics Netherlands)\u00a0<\/li>\n\t
Frank Takes (Leiden University; Amsterdam University)<\/li>\n<\/ul>\n\n
Dates<\/strong><\/p>\n\n
\n\t
Session #1<\/strong> Wednesday Sept 21, 14.00-17.00h CEST<\/li>\n\t
Session #2<\/strong> Thursday Oct 6, 14.00-17.00h CEST<\/li>\n\t
Session #3<\/strong> Thursday Nov 3, 14.00-17.00h CET<\/li>\n\t
Session #4<\/strong> Thursday Nov 10, 14.00-17.00h CET<\/li>\n\t
Session #5<\/strong> Thursday Nov 24, 14.00-17.00h CET<\/li>\n<\/ul>\n","editable":false,"start":"2022-09-21","allDay":true,"end":"2022-09-22","backgroundColor":"#ffffff"},{"title":"CODAP: starting from zero","id":"281-0","eid":"2254","url":"\/events\/node-2254","des":"
CODAP: starting from zero<\/a><\/h2>\n
OnlineMore information<\/p>\n\n
CODAP is the Common Online Data Analysis Platform. It runs in your browser, requires no installation and no signup, and is free. More and more projects and teachers are using CODAP in school STEM courses and in data science, and it is becoming a common ingredient in stats education research. This 90-minute workshop\/webinar will start you at the very beginning and take you surprisingly far. You can \u201cwork along\u201d with the presenter to get hands-on experience with the basics and see several examples of beyond-the-basics activities you can do with CODAP. We\u2019ll also take some time to talk about the logistics of using CODAP with students, including how to get data into CODAP and how to set up CODAP documents for student use.<\/span><\/p>\n\n
\u00a0<\/span><\/p>\n\n
We can decide what beyond-the-basics topics to discuss based on participant interest. They can include topics as diverse as: using hierarchical organization to put data into groups; making aggregate measures; using CODAP plugins to extend its capabilities; doing diagnosis with classification trees; elementary text and sentiment analysis; using maps; and randomization procedures for inference.<\/span><\/p>\n\n
\u00a0<\/p>\n\n
When you register you can indicate further topics of interest to inform what is covered in the second part of the workshop.<\/span><\/i><\/p>\n\n
\u00a0<\/p>\n\n
Bio<\/span><\/b><\/p>\n\n
Tim Erickson has been developing data analysis and modeling technology and curriculum for schools for decades. He is one of the designers of CODAP and Fathom, and currently works to create web-based tools for data analysis and visualization, especially in the form of CODAP plugins. He frequently presents to teachers across the US and internationally. Before all this technology, he created materials for cooperative learning, including the books Get It Together and United We Solve. He also plays the cello (poorly), tries to walk 10000 steps a day, and makes really delicious pancakes and granola.\u00a0<\/span><\/p>\n\n
Tim is doing two workshops on the same topic, register for the one that best suits you time wise. Invitations will be sent for the workshop that you register for.<\/span><\/b><\/p>\n\n
\u00a0<\/p>\n\n
\u00a0<\/p>\n\n
Session 1<\/span><\/b><\/p>\n\n
21 July 2022; 15:00 UTC<\/a> (register here<\/a>)<\/span><\/p>\n\n
Webinar duration: 90 minutes<\/span><\/p>\n\n
\u00a0<\/p>\n\n
Session 2<\/span><\/b><\/p>\n\n
22 July 2022; 15:00 UTC<\/a> (register here<\/a>)<\/span><\/p>\n\n
Webinar duration: 90 minutes<\/span><\/p>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-07-21","allDay":true,"end":"2022-07-23","backgroundColor":"#faca73"},{"title":"IAENG International Conference on Data Mining and Applications 2023","id":"282-0","eid":"2260","url":"\/events\/node-2260","des":"
IAENG International Conference on Data Mining and Applications 2023<\/a><\/h2>\n
Hong Kong<\/p>\n\n
$\"IAENG$ <\/p>\n\n
The IAENG International Conference on Data Mining and Applications (ICDMA\u201923) will take place in Hong Kong, 5-7 July, 2023. The conference ICDMA\u201923 is held under the International MultiConference of Engineers and Computer Scientists 2023. The IMECS 2023 is organized by the International Association of Engineers (IAENG), a non-profit international association for the engineers and the computer scientists.<\/p>\n","editable":false,"start":"2023-07-05","allDay":true,"end":"2023-07-08","backgroundColor":"#ffffff"},{"title":"iid2022: Statistical Methods for Event Data \u2013 Illuminating the Dynamic Universe","id":"283-0","eid":"2261","url":"\/events\/node-2261","des":"
iid2022: Statistical Methods for Event Data \u2013 Illuminating the Dynamic Universe<\/a><\/h2>\n
Lake Guntersville State Park Lodge, Guntersville, AL (USA)<\/p>\n\n
$\"iid2022\"$ <\/p>\n\n
This is a workshop and Winter school focusing on statistics with event and count data for astronomy and related fields<\/p>\n","editable":false,"start":"2022-11-14","allDay":true,"end":"2022-11-19","backgroundColor":"#ffffff"},{"title":"Webinar on Response Surface Methodology with Application in R","id":"284-0","eid":"2262","url":"\/events\/node-2262","des":"
Webinar on Response Surface Methodology with Application in R<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
IASC African Members Group presents:<\/p>\n\n
Webinar on Response Surface Methodology with Application in R<\/strong><\/h2>\n\n
Response surface methodology (RSM) is a collection of statistical and mathematical\u00a0techniques useful for developing, improving, and optimizing processes. It also has\u00a0important applications in the design, development, and formulation of new products,\u00a0as well as in the improvement of existing product designs. The most extensive\u00a0applications of RSM are in the industrial world, particularly in situations where several\u00a0input variables potentially influence some performance measure or quality\u00a0characteristic of the product or process. This performance measure or quality\u00a0characteristic is called the response. It is typically measured on a continuous scale,\u00a0although attribute responses, ranks, and sensory responses are not unusual. The\u00a0RSM package for R provides several functions to facilitate classical response surface\u00a0methods. The package is used to generate response surface designs, fit first and\u00a0second order response surface models, make surface plots, obtain the path of\u00a0steepest ascent, and do canonical analysis. The webinar will focus on generating an\u00a0appropriate response surface design in R as well as using the software for fitting and\u00a0displaying response surface models. It is envisaged that by the end of the webinar\u00a0participants will have the requisite skills to undertake RSM analysis in R.<\/p>\n\n
Speaker: Dr. Ayubu Anapapa Okango<\/strong>
\nDr. Ayubu Anapapa Okango is a Senior Lecturer of Statistics in the Department of\u00a0Mathematics and Actuarial Science, Murang\u2019a University of Technology. He holds a\u00a0PhD in Biostatistics of Moi University, a Master of Science degree in Statistics of\u00a0Kenyatta University, a Postgraduate Diploma in Information Technology Management\u00a0of the University of Sunderland and a BSc. Majoring in Statistics and Computer\u00a0Science (First class honors) from Jomo Kenyatta University of Agriculture and\u00a0Technology.
\n\u00a0
\nDr. Anapapa has over 20 years\u2019 experience in lecturing at university and tertiary level\u00a0having previously worked at Jomo Kenyatta University of Agriculture and Technology,\u00a0Government Training Institute and University of Eldoret. He has also worked as Data\u00a0Manager with Kenya Medical Research Institute and as a Biometrician with Kenya\u00a0Medical Research Institute.
\n\u00a0
\nHis area of specialization is in biostatistics, statistical computing, design of\u00a0experiments and statistical modelling.
\n\u00a0
\nDr. Anapapa has successfully supervised 1 PhD student and 7 MSc students. He has\u00a0published over 20 articles in peer-reviewed journals as well as presented in a number\u00a0of scholarly conferences.<\/p>\n","editable":false,"start":"2022-11-25","allDay":true,"end":"2022-11-26","backgroundColor":"#2e2d5e"},{"title":"UK Office for National Statistics Methodology Symposium 2022","id":"285-0","eid":"2263","url":"\/events\/node-2263","des":"
UK Office for National Statistics Methodology Symposium 2022<\/a><\/h2>\n
<\/p>\n\n
$\"The$ <\/p>\n\n
The Methodology Symposium is an annual event to celebrate innovation in statistical methods and research for official statistics. It is hosted by the Methodology and Quality Directorate of the Office for National Statistics (ONS). This event was previously known as the GSS Methodology Symposium. We have changed the name this year to be more inclusive and open to a wider analytical community.<\/p>\n\n
Now in its 27th year, this event aims to:<\/p>\n\n
\n\t
promote innovation in methods to produce official statistics and statistical research<\/li>\n\t
help with knowledge sharing and encourage collaborations by bringing together analysts from across the Analysis Function, academia, and the private sector<\/li>\n\t
stimulate debate around topics of statistical importance, including quality<\/li>\n<\/ul>\n\n
\u00a0<\/p>\n","editable":false,"start":"2022-11-08","allDay":true,"end":"2022-11-10","backgroundColor":"#ffffff"},{"title":"IASC - Webinar on Multivariate Analysis and Techniques using STATA","id":"286-0","eid":"2264","url":"\/events\/node-2264","des":"
IASC - Webinar on Multivariate Analysis and Techniques using STATA<\/a><\/h2>\n
Video recording<\/p>\n\n
$\"\"$ <\/p>\n\n
The webinar among other objectives will introduce the participants to Multivariate Analysis and some of the multivariate techniques. The Webinar will avail the participants:<\/p>\n\n
\n\t
The definition and understanding of types of Multivariate Normal Distributions and its associated marginal and conditional distributions.<\/li>\n\t
Some Multivariate Analysis Techniques that will be discussed and demonstrated with practical examples include:\n\t
\n\t\t
Linear modelling (Simple, Multiple and Multivariate Linear Regressions);<\/li>\n\t\t
Principal Component Analysis;<\/li>\n\t\t
Multivariate Analysis of Variance (MANOVA); and<\/li>\n\t\t
Discriminant and Classification Analysis.<\/li>\n\t<\/ul>\n\t<\/li>\n<\/ol>\n\n
Requirements for participants<\/strong><\/p>\n\n
\n\t
Participants are expected to have undergraduate (300 \u2013 400 Level) knowledge of Statistics, Mathematics or related disciplines<\/li>\n\t
Computer System\/Laptop with STATA Package installed<\/li>\n<\/ol>\n","editable":false,"start":"2022-08-26","allDay":true,"end":"2022-08-27","backgroundColor":"#2e2d5e"},{"title":"IAOS: Big Data and Official Statistics in Africa","id":"287-0","eid":"2265","url":"\/events\/node-2265","des":"
IAOS: Big Data and Official Statistics in Africa<\/a><\/h2>\n
Watch the recording<\/p>\n\n
$\"\"$ <\/p>\n","editable":false,"start":"2022-10-06","allDay":true,"end":"2022-10-07","backgroundColor":"#0070bc"},{"title":"XVI CLAPEM","id":"288-0","eid":"2282","url":"\/events\/node-2282","des":"
XVI CLAPEM<\/a><\/h2>\n
S\u00e3o Paulo, Brazil<\/p>\n\n
The Latin American Congress of Probability and Mathematical Statistics (CLAPEM), promoted by the\u00a0Latin American Society of Probability and Mathematical Statistics (SLAPEM) and the\u00a0Latin American Regional Committee of the Bernoulli Society, is the main event in these fields in the region. \u00a0It takes place every two\/three years and attracts researchers and students from the most important \u00a0Latin American centers.<\/p>\n\n
A traditional program in a CLAPEM includes a series of short courses to introduce graduate students\u00a0and young colleagues to major areas of current research and a series of invited plenary talks,\u00a0invited sessions, and general poster and oral communication sessions.<\/p>\n","editable":false,"start":"2023-07-10","allDay":true,"end":"2023-07-15","backgroundColor":"#568a35"},{"title":"43rd Conference on Stochastic Processes and their Applications (SPA)","id":"289-0","eid":"2283","url":"\/events\/node-2283","des":"
43rd Conference on Stochastic Processes and their Applications (SPA)<\/a><\/h2>\n
Lisbon, Portugal<\/p>\n\n
SPA Conferences are organised under the patronage of the Bernoulli Society<\/a> and can justifiably be regarded as the most important international scientific meeting on the theory and applications of stochastic processes. They are held annually except for the years when the World Congress in Probability and Statistics takes place. \u00a0The next conference will be hosted by the Faculty of Sciences of the University of Lisbon.\u00a0<\/p>\n","editable":false,"start":"2023-07-24","allDay":true,"end":"2023-07-29","backgroundColor":"#568a35"},{"title":"IAOS-ISI 2023 Conference","id":"290-0","eid":"2296","url":"\/events\/node-2296","des":"
IAOS-ISI 2023 Conference<\/a><\/h2>\n
Livingstone, Zambia<\/p>\n\n
$\"\"$ <\/p>\n\n
The 17th International Association for Official Statistics Conference and 3rd International Statistical Institute Regional Statistics Conference<\/a> will be held in Livingstone, Zambia from 4 -6 April 2023. It is jointly organized by the IAOS, ISI and the Zambia Statistics Agency \u2013 ZamStats. The conference aims to provide:<\/p>\n\n
\n\t
A forward-looking prospectus for statistics to help improve decision-making over the next 10 years<\/li>\n\t
An opportunity to bring together diverse communities to foster innovation and partnership<\/li>\n\t
A focus on Africa through Agenda 2063 and the SDGs<\/li>\n<\/ul>\n\n
The conference also has a strong focus on capacity building in Zambia and across the region.<\/p>\n\n
For more information, including details about accommodation and visa requirements, see the conference website<\/a>.<\/p>\n","editable":false,"start":"2023-04-04","allDay":true,"end":"2023-04-07","backgroundColor":"#0070bc"},{"title":"The Global Rise of Unhappiness and How Leaders Missed It","id":"291-0","eid":"2297","url":"\/events\/node-2297","des":"
The Global Rise of Unhappiness and How Leaders Missed It<\/a><\/h2>\n
Watch the recording<\/p>\n\n
How is your life going?<\/h2>\n\n
Gallup has been asking the world\u2019s citizens this question since 2006. Learn more about one of the most concerning trends we have found and how leaders can address it.<\/p>\n\n
\n\t
3.3 billion people want a great job, but only 300 million have one<\/li>\n\t
3 in 10 people worldwide experienced food insecurity in 2020<\/li>\n\t
Over 1 billion people are so dissatisfied with their community that they want to leave it forever<\/li>\n\t
2 billion people are struggling on their current income<\/li>\n\t
Over 300 million people don\u2019t have a single friend.<\/li>\n<\/ul>\n\n
How people feel matters<\/h2>\n\n
If you feel like the world is getting more negative, you\u2019re right. People are reporting more stress, sadness, physical pain, worry and anger than at any point in the history of Gallup\u2019s tracking.<\/p>\n\n
And it\u2019s not just because of the COVID-19 pandemic. Negative emotions have been rising for a decade. Find out why it\u2019s crucial for leaders \u2014 and all of us \u2014 to pay attention.<\/p>\n\n
Adressing the blind spot<\/h2>\n\n
Discover where the world is suffering in each of Gallup\u2019s five elements of wellbeing and what private and public sector leaders can do to improve how people\u2019s lives are going. Wi th power ful personal stor ies and compelling data from Gallup\u2019s World Poll, Blind Spot outlines the indicators leaders need to watch so they are never again surprised by rising negative emotions.<\/p>\n\n
The webinar will be held on Zoom platform<\/p>\n","editable":false,"start":"2022-09-23","allDay":true,"end":"2022-09-24","backgroundColor":"#0070bc"},{"title":"IASC - The Importance of Data Science to academics and industry with Nigeria experience","id":"292-0","eid":"2308","url":"\/events\/node-2308","des":"
IASC - The Importance of Data Science to academics and industry with Nigeria experience<\/a><\/h2>\n
Watch the recording<\/p>\n\n
Date<\/strong>: Friday 23 September 2022<\/p>\n\n
Time<\/strong>: 4:00pm - 5:30pm CEST (3:00pm-4:30pm WAT)<\/p>\n\n
Duration<\/strong>: 90 minutes<\/p>\n\n
Talk 1: The importance of Data Science to academics with Nigeria experience<\/h2>\n\n
Abstract<\/h3>\n\n
Conventionally, academic disciplines are divided into humanities, natural science, social\u00a0science, formal and applied science, all revolves around data. Data is everywhere, like\u00a0human, it is a living thing, it lives and die. Thus, it is imperative to understand the\u00a0science behind its existence \u2013 Data Science. The important of data science ranges from\u00a0efficient understanding of gigantic (big) data from multiple sources and deriving valuable\u00a0insights to make smarter data-driven decisions and solutions. People and systems\u00a0generate new data at over 7.5 sextillion gigabytes per day, and it is estimated that about\u00a01.145 trillion megabytes of data are produced daily which makes it easier than ever\u00a0before to collect and warehouse data. Across the globe, about 1400 colleges and\u00a0universities uses predictive analytics to improve low graduation rates, readdress college\u00a0experience, and guide students through a direct, data-driven path to graduation with
\nlesser dead ends and erroneous turns. Data science is widely useful in various industry\u00a0domains, including health, education (academic inclusive), agriculture, marketing,\u00a0finance, policy work, and more. Harnessing the prowess of data science in academic\u00a0will bring about numerous benefits such as structured database from which several\u00a0industries can draw data and make sustainable decisions which in turns serve as\u00a0revenue for the education sector, as well as the enhancement of a credible and\u00a0actionable research work. Moreso, most local, national, continental, and global
\nproblems can be solved through quality data management culture in the field of\u00a0academics.<\/p>\n\n
Speaker:\u00a0Ayobami Adegoke Iyanda<\/strong><\/p>\n\n
Talk 2: The importance of Data Science to industry with Nigeria experiences<\/h2>\n\n
Abstract<\/h3>\n\n
While software development remains the most common programming career in the\u00a0most countries, the popularity of data science in Nigeria has steadily grown over the\u00a0years as more Nigerians become enthralled by its potential and gainfully engaged in the\u00a0sector. Data is more prevalent than ever in the world we live in today. According to\u00a0statistics, Nigeria has the third-most software engineers in Africa. Nigerian developers\u00a0have become highly sought after locally and globally. Conglomerates like Facebook,\u00a0Microsoft and Apple have been the main recruiters of Nigerian tech talent in recent\u00a0years. Nonetheless, there is much to be excited about as the number of people and\u00a0corporations interested in the science grows.<\/p>\n\n
Speaker:\u00a0Blessing Bassey Afolayan<\/strong><\/p>\n","editable":false,"start":"2022-09-30","allDay":true,"end":"2022-10-01","backgroundColor":"#2e2d5e"},{"title":"IASC - Statistical Quality Control with Applications in R","id":"293-0","eid":"2318","url":"\/events\/node-2318","des":"
IASC - Statistical Quality Control with Applications in R<\/a><\/h2>\n
Watch the recording<\/p>\n\n
\n
\n
You are invited to join the IASC African Members Group Webinar:<\/strong>\n\n
Statistical Quality Control with Applications in R<\/h2>\n\n
Date: Friday, 21st October, 2022
\nTime: 3:00pm - 4:30pm (WAT)<\/p>\n\n
Statistical quality control (SQC) has three main keywords: Statistics, Quality, and Control. Therefore, SQC concept and practice are the coalescences of the three words. In simple terms, SQC is the use of statistical techniques to monitor\/control the quality of a process, product, or service. Statistical process control (SPC) tools are often used to monitor a process, while monitoring a product has to do with the acceptance sampling scheme (ASS). Thus, one can conveniently say that the two major branches of SQC are the statistical process control (SPC) and the acceptance sampling scheme (ASS). In SPC, the control chart is the principal tool used to monitor a process’s stability and capability. \u00a0<\/p>\n\n
The control chart is a critical technique in SPC to monitor a process. In general, control charts are applied in two different stages: Phase I control and Phase II monitoring. In Phase I control, historical data of the process are collected and analysed to understand the variation of the process over time, evaluate the process stability and estimate the in-control process parameters. In Phase II monitoring, the process is monitored in real-time to quickly detect changes in process parameters.<\/p>\n\n
The main reason for monitoring a process is to determine the type of variation that drives such a process. If a process is driven by chance variation, then the process will behave normally, and thus random force will be in operation. We say such a process is in statistical control. The random force is the same force that is said to be in operation in life sciences experiments. An assignable variation is at work if there is a distortion in the process’s normal behaviour. When such happens, we say that the process is no longer stable and operates in out-of-control (OOC) conditions. When there is an out-of-control signal, subject experts are allowed to interpret such signal.\u00a0<\/p>\n\n
Over the year, SQC has become a versatile tool in the study of variation in different areas of research and policymakers. Such areas are engineering, medicine & allied medical sciences, life & wet sciences, behavioural sciences, manufacturing and service organisations, sports, the legal profession, humanities, and so on. I read an article recently by a \u201csupposed expert\u201d who applied the control chart concept to hospital data. The results were incredible, but the interpretation of the results was distorted simply because the author was not well grounded in the concept of variation in SQC and its interpretation. Thus, in this webinar, we shall be discussing basically the concept and application of the most globally used SQC tool. The Control Chart! While hands-on will be on R.<\/p>\n\n
Speakers:<\/strong><\/p>\n\n
Prof. Kayode S. ADEKEYE<\/h3>\n\n
Kayode Samuel Adekeye is a Professor of Statistics, the pioneer Deputy Vice-Chancellor, and Director of Academic Planning and Quality Assurance at Redeemer\u2019s University, Ede, Nigeria. He is an erudite scholar and a teacher per excellence. He has supervised scores of students for the award of National Diploma, Higher National Diploma, BSc, MSc, and PhD in Statistics in five higher education institutions in Nigeria. He was a visiting Professor of Statistics at the University of Lagos from 2019 to 2020, and a visiting Professor of Statistics and Director of Planning and Quality Assurance at the University of The Gambia in 2021.<\/p>\n\n
Prof. Adekeye has facilitated several training workshops on Quality Assurance in Higher Education management; such as DIES National Multiplication Trainings (NMT) workshop 2019-2020 for Higher Education Institutions in Anglophone West African countries; Training on Internal Quality Assurance in Southeast Asia 2020-2021; Training on Internal Quality Assurance in the SADC region 2020-2021; AfriQAN Workshop on quality assurance for higher education leadership; and the HAQAA2 Training Course on Internal Quality Assurance: IQA-4-Africa \u2013 From Pan-African Policy to Practice.\u00a0
\nProfessor Kay is happily married, and the marriage is blessed with lovely children. \u00a0
\n\u00a0<\/p>\n\n
Timothy A. OGUNLEYE<\/h3>\n\n
Presently, Timothy A. OGUNLEYE holds two degrees in Statistics: Master of Science (M.Sc.) and Bachelor of Science (B.Sc. \u2013 Hons.) from one of the prestigious universities in Nigeria \u2013 University of Ilorin. This is in addition to Ordinary National Diploma and Higher National Diploma in Statistics obtained from the Federal Polytechnic, Ede, Osun State, Nigeria. He has more than 15 years of work experiences that cut across both industries and academia. Timothy has worked for a number of local and international organizations including UNDP, NAPTIP, NAICOM, LBS, to mention but a few. He\u2019s also an experienced academic university staff. Currently, he\u2019s a lecturer at the Department of Statistics, Osun State University, Osogbo, Nigeria. He is acting as the Secretary-General, International Association for Statistical Computing - African Members Group. His research areas includes modelling and econometrics, computational statistics, morphometrics and biostatistics.
\n\u00a0<\/p>\n<\/div>\n\n
\n
$\"\"$ \n<\/div>\n<\/div>\n","editable":false,"start":"2022-10-21","allDay":true,"end":"2022-10-22","backgroundColor":"#2e2d5e"},{"title":"Data Science Year at the UDP 2022 Seminars","id":"294-0","eid":"2320","url":"\/events\/node-2320","des":"
Data Science Year at the UDP 2022 Seminars<\/a><\/h2>\n
<\/p>\n\n
$\"\"$ <\/p>\n\n
The School of Industrial Engineering at the Universidad Diego Portales (Chile) is celebrating a Data Science Year 2022. The main objective is to engage, to involve, to tell our students, researchers, and practitioners how important statistics and data science is to today’s society.<\/p>\n\n
Through this communication, we would like to kindly invite you to join us. Please, mark your calendars and save the dates for our seminars, and extend this invitation to all students.<\/p>\n\n
\n\t
Seminar: Detecting changes in extreme rainfall with attribution to anthropogenic emissions<\/strong>
\n\tSpeaker: Prof. Mark Risser,<\/strong> Lawrence Berkeley National Lab, USA
\n\tDate: Wednesday September 28, 2022, at 11.30 am Chilean time<\/a>
\n\t Register here<\/a>
\n\t\u00a0<\/li>\n\t
Seminar: The double helix of computerized adaptive testing and data science<\/strong>
\n\tSpeaker: Prof. Bernard Veldkamp<\/strong>, University of Twente, The Netherlands
\n\tDate: Wednesday October 5, 2022, at 11.30 am Chilean time<\/a>
\n\t Register here<\/a><\/li>\n<\/ol>\n\n
The seminars will be held virtually using the platform Zoom. Supporting institutions: Chilean Statistical Society, International Association for Statistical Computing, International Statistical Institute.<\/p>\n","editable":false,"start":"2022-09-28","allDay":true,"end":"2022-09-29","backgroundColor":"#2e2d5e"},{"title":"16th International Conference on Computational and Financial Econometrics (CFE 2022)","id":"295-0","eid":"2322","url":"\/events\/node-2322","des":"","editable":false,"start":"2022-12-17","allDay":true,"end":"2022-12-20","backgroundColor":"#ffffff"},{"title":"15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)","id":"296-0","eid":"2323","url":"\/events\/node-2323","des":"","editable":false,"start":"2022-12-17","allDay":true,"end":"2022-12-20","backgroundColor":"#ffffff"},{"title":"UN Big Data Hackathon 2022","id":"297-0","eid":"2327","url":"\/events\/node-2327","des":"
UN Big Data Hackathon 2022<\/a><\/h2>\n
Hybrid - virtual<\/p>\n\n
UN Big Data Hackathon 2022 - UN Committee of Experts on Big Data and Data Science for Official Statistics<\/p>\n\n
Registration deadline<\/strong>: 15 September 2022<\/p>\n","editable":false,"start":"2022-11-08","allDay":true,"end":"2022-11-12","backgroundColor":"#ffffff"},{"title":"IASE Webinar: Critical Theory in Statistics Education","id":"298-0","eid":"2353","url":"\/events\/node-2353","des":"
IASE Webinar: Critical Theory in Statistics Education<\/a><\/h2>\n
Register here<\/p>\n\n
Date<\/strong>: 6 October 2022; 18:00 UTC<\/a><\/p>\n\n
Webinar duration<\/strong>: 90 minutes<\/p>\n\n
Presenters<\/strong>:<\/p>\n\n
\n\t
Lucia Zapata-Cardona, Colombia<\/li>\n\t
Travis Weiland, USA<\/li>\n<\/ul>\n\n
We are hoping to have this in dual languages \u2013 Spanish and English<\/p>\n\n
Register here<\/a>.<\/p>\n\n
We are in an information age where data is constantly being collected and analyzed under the guise of benefiting all. This would seem to be a time for statistics and data science education to flourish. However, many of the algorithms and processes have baked into them the same biases as those who created them. Critical theory provides a lens to interrogate systemic issues of injustice and address crises in society. Given our current state of democracies in crisis across the globe we plan to discuss ways that statistics and data science educators can and have incorporated ideas from critical theory into their work in statistics and data science education. We provide some background into critical theory and how it has been taken up in mathematics education work and then discuss how these ideas could and have been used in the context of statistics and data science education work. Our goal is also to foster dialogue over these ideas so significant time will be devoted to discussion and questions.<\/p>\n","editable":false,"start":"2022-10-06","allDay":true,"end":"2022-10-07","backgroundColor":"#faca73"},{"title":"Detecting changes in extreme rainfall with attribution to anthropogenic emissions","id":"299-0","eid":"2354","url":"\/events\/node-2354","des":"
Detecting changes in extreme rainfall with attribution to anthropogenic emissions<\/a><\/h2>\n
Register here<\/p>\n\n
Wednesday September 28, 2022, at 11.30 am Chilean time<\/a><\/p>\n\n
Speaker: Prof. Mark Risser<\/strong>, Lawrence Berkeley National Lab, USA<\/p>\n\n
Register here<\/a>.<\/p>\n\n
Abstract<\/h2>\n\n
The gridding of daily accumulated precipitation–especially extremes–from ground-based
\nstation observations is problematic due to the fractal nature of precipitation, and therefore estimates of
\nlong period return values and their changes based on such gridded daily data sets are generally
\nunderestimated. To address this issue, we present a method for deriving \u201cprobabilistic\u201d high-resolution
\ndata sets specifically designed to characterize the climatological properties of extreme precipitation by
\napplying spatial statistical analyses to the extreme statistics of daily precipitation. Our methodology is
\nappropriate for heterogeneous spatial domains and furthermore is scalable to an arbitrarily large network
\nof weather stations. An important application of our approach is the detection of both natural and
\nanthropogenically-induced changes in the climatology of extreme precipitation, for which we develop
\na robust statistical technique to identify significant pointwise changes while carefully controlling the
\nrate of false positives. All uncertainty quantification is based on resampling methods, and we utilize
\nsupercomputing to quickly analyze, conduct inference, and detect seasonal changes in extremes for a
\nnetwork of approximately 5000 weather stations from the Global Historical Climatology Network over
\nthe contiguous United States. Human-induced greenhouse gas emissions generally result in larger and
\nmore frequent extreme events, although there are also important areas where the opposite is true.<\/p>\n","editable":false,"start":"2022-09-28","allDay":true,"end":"2022-09-29","backgroundColor":"#2e2d5e"},{"title":"The double helix of computerized adaptive testing and data science","id":"300-0","eid":"2355","url":"\/events\/node-2355","des":"
The double helix of computerized adaptive testing and data science<\/a><\/h2>\n
Register here<\/p>\n\n
Speaker: Prof. Bernard Veldkamp, University of Twente, The Netherlands<\/p>\n\n
Date: Wednesday October 5, 2022, at 11.30 am Chilean time<\/a><\/p>\n\n
Register here<\/a>.<\/p>\n\n
Abstract<\/h2>\n\n
In computerized adaptive testing (CAT) the difficulty of the items is adapted to the level of
\nthe respondent. In the past twenty years, CAT has become more and more popular in the fields of
\npsychological, health and educational measurement. One of the main reasons why CAT became so
\npopular lies in the reduction in test length without any loss in measurement precision. CAT has made
\ntesting much more efficient. In most applications, CAT relies on psychometric models. Unfortunately,
\nthis might be quite restrictive, because of the underlying assumptions of the different kinds of
\npsychometric models that can be applied. The question arises whether CAT fully benefits from all the
\nless structured data that is currently available and whether it is ready for the age of big data. In many
\napplications, (big) data coming from multiple sources is used for measurement. Besides responses to
\ntest items, underlying traits could be measured using, for example, physiological data, process data,
\nlogfile data, video data and\/or combinations of them. The process of combining data from all these
\nsources is also referred to as adaptive measurement. Within this context, adaptivity not only refers to
\nadapting to various data sources, but also to adapting the measurement to individual differences in data
\navailability. For some respondents, data might be missing, incomplete or not usable because of data
\nreliability and data quality issues. To handle these kinds of challenges, AI based algorithms have been
\napplied successfully. In this presentation, the focus is on combining both adaptive measurement
\nparadigms, on combining psychometrics and data sciences. What are the benefits, the limitations, the
\nopportunities and the costs? Initial attempts have been made by combining information about response
\ntimes and item responses in one hierarchical framework. One step further was to apply a Bayes
\nframework for the combination of various sources of information. The ultimate challenge though is to
\nintegrate both CAT and AI in one algorithm to fully optimize adaptive testing and to create a double
\nhelix of adaptive measurement.<\/p>\n","editable":false,"start":"2022-10-05","allDay":true,"end":"2022-10-06","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 24: Developing the Sample Design for the New Annual Integrated Economic Survey","id":"301-0","eid":"2356","url":"\/events\/node-2356","des":"
IASS Webinar 24: Developing the Sample Design for the New Annual Integrated Economic Survey<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
Webinar Abstract<\/h2>\n\n
Beginning in 2024, the economic directorate of the U.S. Census Bureau will introduce the Annual Integrated Economic Survey (AIES), an economy wide survey that replaces a suite of six independently designed ongoing surveys. The AIES sample design requirements are informed by the user community\u2019s longstanding data needs (e.g., national and sub-national tabulations), as well as by extensive respondent research on collection. This paper provides an end-to-end high-level overview of the AIES probability sampling design, including determination of the sampling unit, computation of unit-level inclusion probabilities for the implement probability proportional to size sampling, stratification, allocation, and sample selection and validation. Throughout, I selectively highlight specific challenges of developing a multi-purpose business survey whose collection covers a wide range of economic sectors.<\/p>\n\n
Biography<\/h2>\n\n
Katherine Jenny Thompson is the Senior Mathematical Statistician in the\u00a0Economic Directorate of the Census Bureau. Jenny holds a graduate degree in\u00a0Applied Statistics from the George Washington University and an undergraduate\u00a0degree in Mathematics from Oberlin College. She is an ASA Fellow, an elected\u00a0member of the International Statistics Institute, and will serve as ASA Vice\u00a0President Elect in 2023. Currently, she is the Survey Statistics Editor-in-Chief of\u00a0the Journal of Survey Statistics and Methodology and an Associate Editor for the\u00a0Journal of Official Statistics. She has published papers on a variety of topics\u00a0related to complex surveys in several journals, including the Journal of Official\u00a0Statistics, Journal of the Royal Statistical Society (Series A), Survey\u00a0Methodology, Annals of Applied Statistics, International Statistical Review,\u00a0Journal of Survey Sampling and Methodology, and Public Opinion Quarterly.<\/p>\n","editable":false,"start":"2022-12-14","allDay":true,"end":"2022-12-15","backgroundColor":"#333333"},{"title":"Florence Nightingale Day 2022","id":"302-0","eid":"2358","url":"\/events\/node-2358","des":"
Florence Nightingale Day 2022<\/a><\/h2>\n
Ohio State, Columbus, Ohio + Virtual<\/p>\n\n
$\"\"$ <\/p>\n\n
The 5th Annual Florence Nightingale Day which will be held on October 29 at Ohio State and virtually. Florence Nightingale Day is sponsored by the American Statistical Association and the Caucus for Women in Statistics and aims to celebrate women in statistics and data science while helping 8-12th grade students to discover opportunities in the field through activities and discussions with women in the field and current students.<\/p>\n\n
Visit the website<\/a> for more information about the event.<\/p>\n","editable":false,"start":"2022-10-29","allDay":true,"end":"2022-10-30","backgroundColor":"#ffffff"},{"title":"International Day for Women in Statistics and Data Science (IDWSDS) 2022 Virtual Conference","id":"303-0","eid":"2361","url":"\/events\/node-2361","des":"
International Day for Women in Statistics and Data Science (IDWSDS) 2022 Virtual Conference<\/a><\/h2>\n
<\/p>\n\n
$\"\"$ <\/p>\n\n
The\u00a0 Caucus for Women in Statistics<\/a>\u00a0(CWS), the\u00a0 Portuguese Statistical Society<\/a>\u00a0(SPE), and the\u00a0 American Statistical Association<\/a>\u00a0(ASA) are proud to announce the launching of the\u00a0International Day for Women in Statistics and Data Science<\/i>\u00a0(IDWSDS) with its first annual celebration event on\u00a0October 11, 2022<\/b>\u00a0(the second Tuesday of October). We hope that this will be the annual event for the celebration of women statisticians and data scientists around the world.<\/p>\n","editable":false,"start":"2022-10-11","allDay":true,"end":"2022-10-12","backgroundColor":"#0000af"},{"title":"4th Conference on Statistics and Data Science","id":"304-0","eid":"2367","url":"\/events\/node-2367","des":"
4th Conference on Statistics and Data Science<\/a><\/h2>\n
Online, free of charge<\/p>\n\n
$\"\"$ <\/p>\n\n
The purpose of the CSDS 2022 is to bring together researchers and practitioners, from the academy and from the industry, that develop and apply statistical and computational methods for data science. The event will be online and free of charge.<\/p>\n","editable":false,"start":"2022-12-01","allDay":true,"end":"2022-12-04","backgroundColor":"#ffffff"},{"title":"IAOS: The Independence of statistical institutions with a focus on Arab region and North Africa","id":"305-0","eid":"2371","url":"\/events\/node-2371","des":"
IAOS: The Independence of statistical institutions with a focus on Arab region and North Africa<\/a><\/h2>\n
Watch the recording<\/p>\n\n
Download the flyer<\/a>.<\/p>\n\n
In 2014, the UN Fundamental Principles of Official Statistics (UN FPOS) were\u00a0endorsed by the UN General Assembly. The Fundamental Principles set the\u00a0framework for the fundamental values and principles that govern statistical work and recognize that in order to be effective, the fundamental values and principles\u00a0that govern statistical work have to be guaranteed by legal and institutional\u00a0frameworks and respected at all political levels and by all stakeholders in national
\nstatistical systems.<\/p>\n\n
However, globally issues of Misuse and declining Trust in official statistics have\u00a0become more pronounced in recent years. In response to this the IAOS has\u00a0recently established the Krakow Group. This group\u2019s mandate includes helping to\u00a0identify the main issues to be tackled in relation to misuse, governance, trust and\u00a0ethics.<\/p>\n\n
Each region has specific challenges. In the case of the Arab region, including\u00a0North Africa; the challenges of enhancing trust in official statistics and\u00a0successfully implementing the UN FPOS, are exacerbated by the ongoing\u00a0instability in different parts of the region.<\/p>\n\n
The IAOS has organised this webinar to help official statisticians in the region\u00a0discuss some of the regional specific challenges in implementing the UN FPOS, in\u00a0particular how statistical institutions maintain their independency especially in the\u00a0time of instability.<\/p>\n\n
The event will be conducted in English.<\/p>\n","editable":false,"start":"2022-11-02","allDay":true,"end":"2022-11-03","backgroundColor":"#0070bc"},{"title":"IASS Webinar 25: Unemployment Estimates for the Brazilian Labour Force Survey Using State-Space Models","id":"306-0","eid":"2393","url":"\/events\/node-2393","des":"
IASS Webinar 25: Unemployment Estimates for the Brazilian Labour Force Survey Using State-Space Models<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
Abstract<\/strong>:
\nThe Brazilian Labour Force Survey (BLFS) is a quarterly rotating panel survey with 80% sample overlap between two successive quarters. We will present time series models developed to produce model-based single month estimates at national level as well as small area (state-level) estimates, which are both at a higher frequency than those currently being published. In addition, multivariate time series models that integrate survey data and Google Trends series for nowcasting are considered. High dimensionality problems are solved using a dynamic state space model. In this case, we also discuss the choice of search terms and approaches for targeting predictors in the dimensionality reduction process. The models account for the autocorrelation due to sample overlap and the increased volatility in the labour force series in 2020. This is joint work with Luna Hidalgo (IBGE) e and Jan van den Brakel (Statistics Netherlands and Maastricht University).<\/p>\n","editable":false,"start":"2023-01-25","allDay":true,"end":"2023-01-26","backgroundColor":"#333333"},{"title":"Resilience Technology: Value-Added Analytics for the Wicked Wildfire Problem","id":"307-0","eid":"2394","url":"\/events\/node-2394","des":"
Resilience Technology: Value-Added Analytics for the Wicked Wildfire Problem<\/a><\/h2>\n
<\/p>\n\n
\n
\n
The next\u00a0webinar\u00a0in the\u00a0International Environmetrics Society (TIES) Series on Data Science for Environmental Sciences (DSES) will be on\u00a0Friday November 11, 2022 at 11 am Central Time Zone. You can virtually access the\u00a0webinar\u00a0and register via our website:\u00a0 www.environmetrics.<\/wbr>xyz<\/a>\n\n<\/p>
We are experiencing catastrophic global environmental change: \u00a0global warming, population growth, and the sixth mass extinction. There is a pressing need to understand why our world is changing and predict changes to adapt. Despite progress made through emerging data analytics (e.g., machine learning) for data integrations, pattern recognition and causal inference, there remains a need to transition between information of value to knowledge and informed actions. Using the WKID Innovation framework that combines the knowledge hierarchy, design thinking, project management, and system engineering, we can make the connections between research and decision support tools. WKID Innovation provides a basis for emulating intelligence and informing development of analytic algorithms that support artificial intelligence for every day decision making. In this talk, Dr. Stavros will talk about WKID Innovation and how it has been used to address the wicked wildfire problem by engaging academia, industry (non-profit and for profit), and government agencies.<\/p>\n\n
\n
$\"\"$ <\/div>\n<\/div>\n<\/div>\n<\/div>\n","editable":false,"start":"2022-11-11","allDay":true,"end":"2022-11-12","backgroundColor":"#e66114"},{"title":"2022 Annual Meeting of The International Environmetrics Society (TIES)","id":"308-0","eid":"2395","url":"\/events\/node-2395","des":"
2022 Annual Meeting of The International Environmetrics Society (TIES)<\/a><\/h2>\n
<\/p>\n\n
$\"\"$ \n<\/p>
The Annual Meeting of the International Environmetrics Society (TIES) will be held 17-18 November 2022<\/strong> virtually.<\/p>\n\n
For more information, please, visit the TIES website<\/a>.<\/p>\n","editable":false,"start":"2022-11-17","allDay":true,"end":"2022-11-19","backgroundColor":"#e66114"},{"title":"Through a glass darkly - question and answer session","id":"309-0","eid":"2397","url":"\/events\/node-2397","des":"
Through a glass darkly - question and answer session<\/a><\/h2>\n
Register here<\/p>\n\n
29 November 2022<\/strong>; 22:00 CET \/ 21:00 UTC<\/a><\/p>\n\n
Webinar duration: 60 minutes<\/strong><\/p>\n\n
Register here<\/a><\/p>\n\n
This session with Chris will be a question-and-answer session based on his recent presentation Through a glass darkly: Statistics education, society and the future<\/a> at the New Zealand Association of Mathematics Teachers Conference.<\/p>\n\n
Take time to watch the presentation before the session, and post questions for Chris. The session itself will be a mixture of responding to previously posted questions and as time allows questions on the day. The link to post questions is available once you have registered, or you can email questions to Pip pip@karekareeducation.co.nz directly.\u00a0<\/p>\n\n
This presentation is Chris’s latest thinking from a similar presentation at ICOTS in Kyoto.<\/p>\n\n
Bio<\/h3>\n\n
Chris Wild did his first degrees at Auckland followed by a PhD at the University of Waterloo in Canada before joining the then Statistics Unit of the Department of Mathematics in 1979.<\/p>\n\n
He was Head of Auckland’s Department of Statistics 2003-2007 and co-led the University of Auckland’s first-year statistics teaching team to a national Tertiary Teaching Excellence Award in 2003.<\/p>\n\n
Research | Current<\/h3>\n\n
Currently, my main research interests are in statistics education with particular emphasis on visualisation, software for data analysis and conceptual development, statistical thinking, and reasoning processes. Much of my career has been spent developing methods for modelling response-selective data (e.g., case-control studies) and missing data problems, and other aspects of biostatistics.<\/p>\n","editable":false,"start":"2022-11-29","allDay":true,"end":"2022-11-30","backgroundColor":"#faca73"},{"title":"CLADAG 2023","id":"310-0","eid":"2401","url":"\/events\/node-2401","des":"
CLADAG 2023<\/a><\/h2>\n
University of Salerno, Italy<\/p>\n\n
$\"\"$ <\/a><\/p>\n\n
The\u00a0 CLAssification and Data Analysis Group (CLADAG)<\/a>\u00a0of the\u00a0 Italian\u00a0Statistical Society (SIS)<\/a>\u00a0promotes advanced methodological\u00a0research in multivariate statistics with a special vocation in Data Analysis and Classification. CLADAG supports the interchange of\u00a0ideas in these fields of research, including the dissemination of\u00a0concepts, numerical methods, algorithms, computational and\u00a0applied results.<\/p>\n","editable":false,"start":"2023-09-11","allDay":true,"end":"2023-09-14","backgroundColor":"#ffffff"},{"title":"SPSS One day on-line course for complete beginners","id":"311-0","eid":"2402","url":"\/events\/node-2402","des":"
SPSS One day on-line course for complete beginners<\/a><\/h2>\n
on-line one-day course<\/p>\n\n
This on-line one-day course is aimed at complete beginners to IBM SPSS Statistics. It introduces basic concepts and structures and uses these to read in and prepare data ready for analysis and perform data manipulations using core commands.<\/p>\n\n
Read more »<\/a><\/p>\n","editable":false,"start":"2023-03-29","allDay":true,"end":"2023-03-30","backgroundColor":"#ffffff"},{"title":"Statistical and Data Literacy in Policy-Making","id":"312-0","eid":"2421","url":"\/events\/node-2421","des":"
Statistical and Data Literacy in Policy-Making<\/a><\/h2>\n
more information<\/p>\n\n
7 December 2022; 09:00 UTC<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n\n
Webinar duration: 90 minutes<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n\n
Presenters (full bios on website)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n\n
\n\t
Reija Helenius, Group Leader, Director | Statistics Finland & International Statistical Literacy Project<\/span><\/span><\/li>\n\t
Steve MacFeely, Head Statistician | WHO & ISLP<\/span><\/span><\/li>\n\t
Walter Radermacher, Professor | Ludwig-Maximilians-University Munich & Chair of the ISI Advisory Board on Ethics & President | FENStatS: \u201cStatistical Awareness Promoting a Data Culture\u201d<\/span><\/span><\/li>\n\t
Giulio Sabbati, Head of Statistical and Data Visualisation Support Office | European Parliamentary Research Service: \u201cStatistical and Data Literacy: A Practitioner\u2019s View on Policy-making: How to provide independent, objective and authoritative data and information for policy-making\u201d<\/span><\/span><\/li>\n\t
Milo Schield, Statistical Literacy Consultant | University of New Mexico: \u201cStatistical Literacy: Seven Simple Questions for Policymakers\u201d<\/span><\/span><\/li>\n\t
Katharina Sch\u00fcller, CEO & founder | StatUp & Board member | German Statistical Society: \u201cData and AI Literacy for Everyone\u201d<\/span><\/span><\/li>\n\t
Gaby Umbach, Part-time Professor, Robert Schuman Centre for Advanced Studies | European University Institute: \u201cStatistical and data literacy in policy-making\u201d<\/span><\/span><\/li>\n<\/ul>\n\n
\u00a0The webinar is organized by the International Statistical Literacy Project (ISLP), a project that aims to advance statistical literacy worldwide. The webinar is based on the SJIAOS special stream on Statistical and Data Literacy in Policy-Making (Vol 38, No. 2, 2022). As the publication did, the webinar offers conceptual reflections on statistical and data literacy in policy-making. In their presentations, the contributing authors reflect on the relevance of the use of statistics and data in politics and highlight the impact of both on policy-making. They underline the need for statistical and data literacy in policy-making and identify key elements of it. They also elaborate on how statistical and data literacy in policy-making is specific. The individual contributions to the SJIAOS special stream originate from the ISI World Statistics Congress 2021 Invited Paper Session on \u2018Statistical and Data Literacy in Policy-Making\u2019.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n\n
Register here<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/a><\/p>\n","editable":false,"start":"2022-12-07","allDay":true,"end":"2022-12-08","backgroundColor":"#faca73"},{"title":"The Statistics Wars and Their Casualties","id":"313-0","eid":"2424","url":"\/events\/node-2424","des":"
The Statistics Wars and Their Casualties<\/a><\/h2>\n
More information<\/p>\n\n
$\"\"$ <\/p>\n\n
We are pleased to announce the schedule for December 1 and 8, Sessions 3 & 4, of The Statistics Wars and Their Casualties<\/strong> online workshop (Phil-Stat-Wars.com). Both sessions will be held on Thursdays from 15:00 to 18:15 pm GMT\/10:00 am \u2013 1:15 pm EST.<\/p>\n\n
Anyone who wishes to register for the workshop, please fill out the registration form on our website<\/a> . (If you registered for the first half of the workshop, you do not need to register again.) We are pleased to report that currently we have over 800 registered attendees.<\/p>\n\n
Videos from earlier talks and discussions can be found on the website. For questions, please contact: Jean Miller (Jemille6@vt.edu) or Margherita Harris (M.Harris2@lse.ac.uk).<\/p>\n\n
The schedule, abstracts, and speakers, as well as updates, can be found on our website.<\/p>\n","editable":false,"start":"2022-12-01","allDay":true,"end":"0222-12-09","backgroundColor":"#ffffff"},{"title":"Statistical Foundations of Data Science and their Applications","id":"314-0","eid":"2426","url":"\/events\/node-2426","des":"
Statistical Foundations of Data Science and their Applications<\/a><\/h2>\n
Princeton University, New Jersey, USA<\/p>\n\n
The conference will bring together collaborators and leading researchers in statistics and data science. The conference will provide an excellent forum for scientific communications and promote collaborations among researchers in statistics and data science. The program covers a wide range of topics presenting recent developments and the state of the art in a variety of modern research topics on statistics and data science as well as their applications.<\/p>\n","editable":false,"start":"2023-05-08","allDay":true,"end":"2023-05-11","backgroundColor":"#ffffff"},{"title":"ICSA 2023 China Conference","id":"315-0","eid":"2427","url":"\/events\/node-2427","des":"
ICSA 2023 China Conference<\/a><\/h2>\n
Chengdu, Sichuan, China<\/p>\n\n
The 2023 ICSA China Conference will be held at Chengdu, Sichuan, China from 30 June \u2013 3 July 2023. It is co-organized by the Southwest Jiaotong University. The conference venue is Jinniu Hotel. The theme of this conference is \u201cData Science with Applications to Big Data Analysis and AI\u201d, which is in recognition of the big data era. A strong and comprehensive program includes keynote lectures, invited sessions, poster sessions, junior researcher award session, etc.<\/p>\n","editable":false,"start":"2023-06-30","allDay":true,"end":"2023-07-04","backgroundColor":"#ffffff"},{"title":"European Establishment Statistics Workshop 2023 - EESW23","id":"316-0","eid":"2428","url":"\/events\/node-2428","des":"
European Establishment Statistics Workshop 2023 - EESW23<\/a><\/h2>\n
Lisbon, Portugal<\/p>\n\n
EESW23 is the eighth biennial European Establishment Statistics Workshop, will be held in Lisbon, Portugal, on 19-22 September 2021. It will be hosted by Statistics Portugal. The first day is devoted to short courses, followed by the traditional two-and-a-half day workshop.<\/p>\n","editable":false,"start":"2023-09-19","allDay":true,"end":"2023-09-23","backgroundColor":"#ffffff"},{"title":"Royal Statistical 2023 International Conference","id":"317-0","eid":"2458","url":"\/events\/node-2458","des":"
Royal Statistical 2023 International Conference<\/a><\/h2>\n
Harrogate, UK<\/p>\n\n
$\"The$ <\/p>\n\n
The RSS International Conference regularly attracts more than 500 attendees from over 30 countries providing one of the best opportunities for anyone interested in statistics and data science to come together to share knowledge and network.
\n
\nAs usual, the conference programme will feature top keynote speakers, invited topic sessions, professional development workshops, contributed and rapid-fire talks, and poster presentations, as well as many opportunities for networking.<\/p>\n","editable":false,"start":"2023-09-04","allDay":true,"end":"2023-09-08","backgroundColor":"#ffffff"},{"title":"IASS Webinar 26: Integrating Survey and Non-Survey Data in the Production of U.S. Official Agricultural Statistics: A Progress Report","id":"318-0","eid":"2459","url":"\/events\/node-2459","des":"
IASS Webinar 26: Integrating Survey and Non-Survey Data in the Production of U.S. Official Agricultural Statistics: A Progress Report<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
Each year the United States Department of Agriculture\u2019s (USDA\u2019s) National Agriculture Statistics Service (NASS) conducts more than 100 surveys and produces more than 400 reports on all aspects of U.S. Agriculture, ranging from estimates of corn and cattle production to agricultural prices and expenses. For over a half century, sample surveys have been the foundation for producing these official statistics. In recent years, as is common with other National Statistical Agencies, response rates and the coverage of the NASS list frame (of all known U.S. farms) have continued to decline. Further, because U.S. agricultural production is increasingly concentrated in a few large farming operations, the quality of the official statistics produced relies heavily on obtaining responses from the producers of these large farms. Consequently, these producers may each receive more than 20 surveys each year, constituting a heavy reporting burden. At the same time, non-survey data, including administrative, remotely sensed, and weather data, have become increasing available. NASS is currently working to incorporate more non-survey data in the estimation process to improve the precision of the estimates while reducing reporting burden. Two approaches to integrating survey and non-survey data are (1) to combine survey estimates and non-survey information at some specified level of geography through modelling and (2) to link the survey and non-survey data at the farm level and then to produce estimates based on the linked data. To date, NASS has taken approach (1), using Bayesian models to combine survey and non-survey data at the county or regional levels in three major programs. These models incorporate the survey estimates, non-survey information, and known constraints on the estimates. This presentation focuses on the Bayesian models now being used to provide official statistics and describes the process of moving a new model into the production. \u00a0Linking the survey and non-survey data at the farm level, i.e., approach (2), has been challenging because, while all non-survey data acquired thus far are georeferenced, the NASS list frame itself is not. Progress is being made and will be outlined. Current and future research directions will be highlighted.<\/p>\n","editable":false,"start":"2023-02-22","allDay":true,"end":"2023-02-23","backgroundColor":"#333333"},{"title":"IFC Satellite Seminar on "Granular data: new horizons and challenges for central banks" at the ISI WSC 2023","id":"319-0","eid":"2460","url":"\/events\/node-2460","des":"
IFC Satellite Seminar on "Granular data: new horizons and challenges for central banks" at the ISI WSC 2023<\/a><\/h2>\n
Ottawa, CanadaMore information<\/p>\n\n
Title: IFC Satellite Seminar on \u201cGranular data: new horizons and challenges for\u00a0central banks\u201d at the ISI WSC 2023.\u00a0The Irving Fisher Committee on Central Bank Statistics (IFC) will hold a one day\u00a0Satellite Seminar on \u201cGranular data: new horizons and challenges for central\u00a0banks\u201d in cooperation with the Bank of Canada.<\/p>\n\n
The seminar will be held on 15 July 2023 in Ottawa, Canada i.e. just before the\u00a064th World Statistics Congress of the International Statistical Institute (ISI WSC\u00a02023<\/a>) on 16-20 July 2023.<\/p>\n\n
The seminar aims to take an integrated view of the use of granular data by central\u00a0banks, highlighting the analytical value, the tools and approaches needed to\u00a0unlock its value as well as the challenges it poses.<\/p>\n\n
IFC Website<\/a>
\n IFC Events<\/a><\/p>\n","editable":false,"start":"2023-07-15","allDay":true,"end":"2023-07-16","backgroundColor":"#ffffff"},{"title":"Extreme Value Analysis (EVA 2023)","id":"320-0","eid":"2462","url":"\/events\/node-2462","des":"
Extreme Value Analysis (EVA 2023)<\/a><\/h2>\n
Milan, Italy<\/p>\n\n
The conference will be hosted by Bocconi University. It will bring together\u00a0researchers in Extreme Value Theory, Methods and its Applications.<\/p>\n\n
More information<\/a><\/p>\n","editable":false,"start":"2023-06-26","allDay":true,"end":"2023-07-01","backgroundColor":"#ffffff"},{"title":"DSSV Conference","id":"321-0","eid":"2465","url":"\/events\/node-2465","des":"
DSSV Conference<\/a><\/h2>\n
Antwerp, Belgium<\/p>\n\n
The Data Science, Statistics and Visualization conference will be held in Antwerp (Belgium) from July 5 to July 7 2023. More information on the conference may be found on the website<\/a>.<\/p>\n","editable":false,"start":"2023-07-05","allDay":true,"end":"2023-07-08","backgroundColor":"#ffffff"},{"title":"IASC-ERS: COMPSTAT 2023","id":"322-0","eid":"2466","url":"\/events\/node-2466","des":"
IASC-ERS: COMPSTAT 2023<\/a><\/h2>\n
London, UK<\/p>\n\n
25th International Conference on Computational Statistics COMPSTAT 2023\u00a0will take place at Birkbeck, University of London, UK, 22-25 August 2023. It is sponsored by the European Regional Section of the IASC. More information available on the website<\/a>.
\n\u00a0<\/p>\n","editable":false,"start":"2023-08-22","allDay":true,"end":"2023-08-26","backgroundColor":"#2e2d5e"},{"title":"International Conference on Robust Statistics","id":"323-0","eid":"2467","url":"\/events\/node-2467","des":"
International Conference on Robust Statistics<\/a><\/h2>\n
Toulouse, France<\/p>\n\n
The International Conference on Robust Statistics \u2013 ICORS 2023 - will be held in Toulouse (France) from May 23 to May 26 2023 (submission deadline is 31 January 2023). More information on the conference may be found on the website<\/a>.<\/p>\n\n
Keynote speakers:<\/h2>\n\n
\n\t
E. J. Cand\u00e8s from Stanford University (USA)<\/li>\n\t
J.H.J. Einmahl from Tilburg University (Netherlands)\u00a0<\/li>\n\t
L. Wang from Miami University (USA).\u00a0<\/li>\n<\/ul>\n\n
ICORS invite you from now on to share your new research findings by submitting contributions. The submission deadline is 31\u00a0January 2023<\/strong>.\u00a0
\n\u00a0<\/p>\n","editable":false,"start":"2023-05-23","allDay":true,"end":"2023-05-27","backgroundColor":"#ffffff"},{"title":"OZCOTS: Australian Conference on Teaching Statistics","id":"324-0","eid":"2468","url":"\/events\/node-2468","des":"
OZCOTS: Australian Conference on Teaching Statistics<\/a><\/h2>\n
Wollongong, Australia<\/p>\n\n
Ozcots program chair invites you to participate in OZCOTS 2023, the 11th Australian Conference on Teaching Statistics.<\/p>\n\n
OZCOTS 2023 will run as a hybrid Conference on Thursday 14 and Friday 15 December 2023.\u00a0<\/p>\n\n
The conference will consider many challenges of teaching Statistics for future statisticians, statistical users and consumers under the theme of \u201cStatistics as a Big Tent: Statistics and Data Science Education\u201d.\u00a0<\/p>\n\n
OZCOTS 2023 is building on the success of the timing and format of earlier OZCOTS as a conjoint event with the Australian Statistical Conference (ASC), to be held as a hybrid Conference in Wollongong University, Australia and online, with an overlap on Thursday 14 December 2023.<\/p>\n\n
See more<\/a>.
\n\u00a0<\/p>\n","editable":false,"start":"2023-12-14","allDay":true,"end":"2023-12-16","backgroundColor":"#ffffff"},{"title":"Fundamental Principles of Official Statistics (FPOS): History, relevance today, mission for tomorrow - a message from the creators","id":"325-0","eid":"2469","url":"\/events\/node-2469","des":"
Fundamental Principles of Official Statistics (FPOS): History, relevance today, mission for tomorrow - a message from the creators<\/a><\/h2>\n
Register<\/p>\n\n
Chair: Misha Belkindas<\/b>, speakers: Jean-Louis Bodin, Jozef Olenski, Hermann Habermann<\/b><\/p>\n\n
Objectives of the webinar<\/strong>:<\/p>\n\n
\n\t
Practical conclusions derived from the history of the FPOS, based on 30 years of\u00a0experiences of by different groups of stakeholders of official statistics, with special\u00a0reference to statistical agencies and other producers of official statistics and to the\u00a0governments and international organizations.<\/li>\n\t
Mission of the FPOS in XXI century \u2013 legal, methodological and ethical basis of\u00a0protecting \u201cclean\u201d information for societies in knowledge-based economies amid\u00a0conditions of globalization.<\/li>\n<\/ol>\n\n
A. History of the FPOS<\/strong>
\nThe spurs for the creation of the FPOS adopted by the UNECE in 1992, and by the UNSC in\u00a01994, were political and economic changes caused by the fall of socialist systems in Europe\u00a0and in other regions of the world in 1989- 1992. In the 1990th the FPOS were used, in many\u00a0countries, as the basis of the adoption of statistical laws and to restructure and provide a new\u00a0raison d\u2019atre for national statistical offices in transition countries. It soon became clear that\u00a0the Principles are of universal importance for all stakeholders of statistics, for all countries as\u00a0well as international organizations involved in production, distribution and use of official\u00a0statistical data.<\/p>\n\n
B. Relevance today<\/strong>
\nBecause of wide use of modern information and communication technologies, statistical data\u00a0are now produced by many agents, including national governments, international agencies\u00a0and the private sector. In this situation the FPOS became a fundamental principle which\u00a0could be applied to the regulation of information processes. The FPOS could serve as\u00a0guidance not only to official statisticians, but also to all producers, distributors and users of\u00a0statistical data and socio\u2013economic metadata. Thus, the interpretation of the principles of\u00a0the FPOS became relevant and pertinent to the needs of the stakeholders \u201coutside\u201d\u00a0statistical offices.<\/p>\n\n
C. Mission for tomorrow<\/strong>
\nUsers are currently presented with a never before seen abundance of data and information\u00a0on almost every subject imaginable today. Unfortunately this abundance is too often not\u00a0matched by the necessary quality criteria and the information systems are often not\u00a0trustworthy. A new foundation of principles will be necessary to that these systems can
\nserve the needs of users. The issue to be explored here is what role the FPOS can play in\u00a0developing that foundation. Can, for example, the principles of the FPOS can be expanded to\u00a0include the private sector. Will the FPOS change so that the protection of the quality of\u00a0information environments of societies and economies is the priority mission of the FPOS in
\nXXI century.<\/p>\n","editable":false,"start":"2023-02-02","allDay":true,"end":"2023-02-03","backgroundColor":"#0070bc"},{"title":"20th ASMDA 2023","id":"326-0","eid":"2470","url":"\/events\/node-2470","des":"
20th ASMDA 2023<\/a><\/h2>\n
Heraklion Crete, Greece<\/p>\n\n
Welcome to the 20th conference of the Applied Stochastic Models and Data Analysis (ASMDA2023) International Society and the Demographics2023 Workshop. The 20th ASMDA conference will focus on new trends in theory, applications and software of Applied Stochastic Models and Data Analysis.
\n\u00a0<\/p>\n","editable":false,"start":"2023-06-06","allDay":true,"end":"2023-06-10","backgroundColor":"#ffffff"},{"title":"6th Baltic-Nordic Conference on Survey Statistics","id":"327-0","eid":"2471","url":"\/events\/node-2471","des":"
6th Baltic-Nordic Conference on Survey Statistics<\/a><\/h2>\n
Helsinki, Finland<\/p>\n\n
$\"\"$ <\/p>\n\n
The 6th Baltic-Nordic Conference on Survey Statistics provides an international forum for sharing new results and ideas in survey statistics and data science research and application. The conference is organized by the Baltic-Nordic-Ukrainian Network on Survey Statistics and University of Helsinki. For more information (including keynote speakers and call for contributed papers) see the conference website<\/a>.<\/p>\n","editable":false,"start":"2023-08-21","allDay":true,"end":"2023-08-26","backgroundColor":"#ffffff"},{"title":"Machine learning in secondary statistics education - challenges and possible ways to address them","id":"328-0","eid":"2472","url":"\/events\/node-2472","des":"
Machine learning in secondary statistics education - challenges and possible ways to address them<\/a><\/h2>\n
Register<\/p>\n\n
7 March 2023; 20:00 UTC<\/a><\/p>\n\n
Webinar duration: 90 minutes<\/strong><\/p>\n\n
Presenter: Rolf Biehler and Yannik Fleischer, Paderborn University, Germany<\/p>\n\n
Register here<\/a><\/p>\n\n
Statistics is a field that is rapidly evolving towards data science, and with it, data-driven machine learning (ML) is emerging as a field with numerous applications that can be both beneficial and controversial. ML has been successful in producing useful applications for society, but it has also raised concerns about bias in algorithms and data, surveillance misuse, and delegating responsibility to machines. The general public often lacks access to ML and AI methods, which can lead to difficulty distinguishing between legitimate concerns and false suspicions. This is why ML and AI literacy should be an essential component of data literacy.<\/p>\n\n
The Project Data Science and Big Data (ProDaBi, www.prodabi.de\/en) at the Paderborn University is investigating which aspects of ML can and should be taught in secondary school statistics classes. We are developing and testing teaching materials for students in grades 5 \/ 6, 9 \/ 10, and 12\/13. One of our primary focuses is on data-based decision trees as a specific ML method. For students in grades 5 \/ 6, we use an unplugged approach with data cards, while for older students, we use various digital tools such as CODAP for data exploration and semi-automatic decision tree construction, and Jupyter Notebook with integrated libraries in prepared environments that allow for applying ML algorithms without requiring coding skills from students.<\/p>\n\n
During the talk, we will present our approach to ML in statistics education, our materials, and the use of digital tools, as well as the datasets we use. Nutrition data, data on media use of adolescents, and data from parking space occupancy are used by students to develop predictive models. We will also discuss the evaluation of models and sources of bias, as well as potential problems in the societal use of ML methods. Overall, our goal is to promote ML and AI literacy and equip students with the knowledge and skills they need to navigate this rapidly developing field in a responsible and informed manner.<\/p>\n\n
Bio<\/strong><\/p>\n\n
Dr. Rolf Biehler<\/strong> is professor for didactics of mathematics at Paderborn University. His research interests include probability, statistics and data science education, university mathematics education, and the professional development of mathematics teachers. He is engaged in the International Association of Statistics Education (IASE) and has worked as an editor or editorial board member in several international journals and book series for mathematics education. He is currently co-directing the Project Data Science and Big Data at School (www.prodabi.de\/en) and is the chairperson of the Advisory Board of the Statistics Education Research Journal (SERJ).<\/p>\n\n
Yannik Fleischer<\/strong> is a PhD student in mathematics education research at Paderborn University, Germany. His main research interest is developing a conception for teaching machine learning methods in school with a focus on decision trees, and to evaluate this by developing and examining teaching materials in practice. Since 2019, he has been teaching year-long project courses on data science in upper secondary and developing, implementing, and evaluating teaching modules for different levels in secondary school, mainly about machine learning with decision trees.<\/p>\n","editable":false,"start":"2023-03-07","allDay":true,"end":"2023-03-08","backgroundColor":"#faca73"},{"title":"Women statisticians in ISI, how to advance your career?","id":"329-0","eid":"2473","url":"\/events\/node-2473","des":"
Women statisticians in ISI, how to advance your career?<\/a><\/h2>\n
Watch the recording<\/p>\n\n
$\"\"$ <\/p>\n\n
Organised by the ISI Committee Women in Statistics (CW-ISI). Former ISI Director Ada van Krimpen is going to be the distinguished invited speaker of the webinar. She will discuss the proportion of women among ISI members and their role in governance. We then discuss which factors play a role in boosting the careers of female statisticians. Watch the recordig (link available soon)<\/p>\n\n
Five prominent ISI members will give their personal views<\/strong>
\nOla Awad, Denise Silva, Mara Sherlin Talento, A. John Bailer and Irena Krizman, Ada van Krimpen (Organiser and Invited Speaker)<\/p>\n\n
Save the date (Online)<\/strong>
\n23 March 2023, 3PM (CET)\u00a0<\/p>\n","editable":false,"start":"2023-03-23","allDay":true,"end":"2023-03-24","backgroundColor":"#0000af"},{"title":"IASS Webinar 29: Fitting Classification Trees to Complex Survey Data","id":"330-0","eid":"2474","url":"\/events\/node-2474","des":"
IASS Webinar 29: Fitting Classification Trees to Complex Survey Data<\/a><\/h2>\n
Register here<\/p>\n\n
Classification tree algorithms are a convenient method to perform variable selection and obtain interpretable structures relating covariates and an outcome of interest. \u00a0When fitting classification trees to survey data, it is common to ignore sampling weights as well other design characteristics such as stratification and clustering. \u00a0However, unless the survey design is uninformative, there is a risk that the inference for the classification tree is incorrect. A particular application in which this is a concern is the construction of nonresponse adjustment cells, a key step in the development of survey weights. \u00a0We propose an extension of the popular Chi-square Automatic Interaction Detector (CHAID) approach that accounts for the design by applying a Rao-Scott correction in its classification criterion. We discuss the statistical properties of the resulting algorithm under a design-based framework. \u00a0We compare its performance to existing weighted and unweighted algorithms, and we illustrate the use of the method using data from the U.S. American Community Survey.<\/p>\n","editable":false,"start":"2023-05-31","allDay":true,"end":"2023-06-01","backgroundColor":"#333333"},{"title":"Winter School on Mathematical Biology - Statistical Applications in Data Science","id":"331-0","eid":"2475","url":"\/events\/node-2475","des":"
Winter School on Mathematical Biology - Statistical Applications in Data Science<\/a><\/h2>\n
Register here<\/p>\n\n
The winter school would facilitate the global exploration of the recent developments in emerging multidisciplinary areas of statistical sciences, applied mathematics that includes computational intelligence, mathematical modeling, data analytics etc.<\/p>\n\n
Winter School on Mathematical Biology- Statistical Applications in Data Science facilitates the learners to know about the application of Mathematics in the field of biology, biomedical and biotechnology.\u00a0<\/p>\n\n
The training will provide the applications of Statistics to the PhD students, Undergraduate, Post Graduate students and will kindle their thirst in research in the field of Statistics and Data Science.\u00a0<\/p>\n\n
In this program, statistical science and mathematical representations and modeling of biological problems using a variety of mathematics, statistics and Information Technology theories and techniques will be taught.\u00a0<\/p>\n\n
Please use this google form<\/a> to register.<\/p>\n","editable":false,"start":"2023-02-21","allDay":true,"end":"2023-02-24","backgroundColor":"#ffffff"},{"title":"Biostat conference IBBC23","id":"332-0","eid":"2496","url":"\/events\/node-2496","des":"
Biostat conference IBBC23<\/a><\/h2>\n
Gothenburg, Sweden<\/p>\n\n
Warmly welcome to the Nordic-Baltic Biometric Conference 2023 which will be held in Gothenburg 16-18\u00a0June (the weekend before NORDSTAT). There will be key note speakers, invited sessions and contributed sessions. The three key note speakers as well as the organizers of the five invited sessions are all very knowledgeable persons so we can definitely look forward to three interesting days. We are also sure that many interesting contributions will appear. Moreover, there will be plenty of time for meeting old friends and creating new contacts during the welcome reception, conference dinner, health sessions and lunches which except the conference dinner will take place at the Scandic Crown hotel.<\/p>\n\n
For further information please visit the website<\/a> (which is weekly updated).<\/p>\n\n
PS Metallica is playing in Gothenburg 16-18 June so if you plan to participate please do not wait too long with hotel reservations.<\/p>\n","editable":false,"start":"2023-06-16","allDay":true,"end":"2023-06-19","backgroundColor":"#ffffff"},{"title":"ISBIS 2023 Satellite Conference","id":"333-0","eid":"2497","url":"\/events\/node-2497","des":"
ISBIS 2023 Satellite Conference<\/a><\/h2>\n
Brock University, St. Catharines Canada<\/p>\n\n
The International Society for Business and Industrial Statistics (ISBIS) invites you to its 2023 conference, a satellite event to the 64th ISI World Statistics Congress.The International Society for Business and Industrial Statistics (ISBIS) invites you to its 2023 conference, a satellite event to the 64th ISI World Statistics Congress.<\/p>\n\n
\u00a0<\/p>\n","editable":false,"start":"2023-07-13","allDay":true,"end":"2023-07-15","backgroundColor":"#009999"},{"title":"Computational and Applied Statistics (CAS2023)","id":"334-0","eid":"2498","url":"\/events\/node-2498","des":"
Computational and Applied Statistics (CAS2023)<\/a><\/h2>\n
Athens, Greece<\/p>\n\n
$\"\"$ Workshop of the 23rd International Conference on Computational Science and Applications (ICCSA 2023). The aim of the CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences.<\/p>\n\n
Topics of interest include (but are not limited to):<\/p>\n\n
\n\t
Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, Python, etc<\/li>\n\t
Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences.<\/li>\n<\/ul>\n","editable":false,"start":"2023-07-03","allDay":true,"end":"2023-07-07","backgroundColor":"#ffffff"},{"title":"TIES 2023 Regional","id":"335-0","eid":"2499","url":"\/events\/node-2499","des":"
TIES 2023 Regional<\/a><\/h2>\n
Peterborough, Canada<\/p>\n\n
\u00a0<\/p>\n\n
$\"\"$ <\/a><\/p>\n\n
Regional (satellite) meeting<\/a> of the International Environmetrics Society.<\/p>\n","editable":false,"start":"2023-07-24","allDay":true,"end":"2023-07-30","backgroundColor":"#e66114"},{"title":"Minicourse - LACSC 2023","id":"336-0","eid":"2500","url":"\/events\/node-2500","des":"
Minicourse - LACSC 2023<\/a><\/h2>\n
Register<\/p>\n\n
$\"Paula$ Minicourse 1: Geospatial Data Science using R.<\/strong>
\nPaula Moraga<\/strong> - King Abdullah University of Science and Technology
\n(KAUST), Saudi Arabia.
\nSession1: Saturday, April 1, 9:00 a.m.-11:00 a.m.
\nSession 2: Monday, April 3, 8:00 a.m.-10:00 a.m.
\n(Lima City local time - UCT-GMT)<\/p>\n\n

\n $\"Natalia$ Minicourse 2: Introduction to Statistical learning using tidymodels R\u00a0package.<\/strong>
\nNatalia da Silva<\/strong> - Instituto de Estad\u00edstica- Universidad de la Rep\u00fablica (IESTA-UDELAR), Uruguay.
\nSession 1: Saturday, April 1, 11:00 a.m.-1:00 p.m.
\nSession 2: Monday, April 3, 10:00 a.m.-12:00 p.m.
\n(Lima City local time - UCT-GMT)<\/p>\n","editable":false,"start":"2023-04-01","allDay":true,"end":"2023-04-02","backgroundColor":"#2e2d5e"},{"title":"IASS Webinar 27: Designed big data in surveys and official statistics: Augmenting surveys with sensors, apps, wearables and data donation","id":"337-0","eid":"2501","url":"\/events\/node-2501","des":"
IASS Webinar 27: Designed big data in surveys and official statistics: Augmenting surveys with sensors, apps, wearables and data donation<\/a><\/h2>\n
Register here<\/p>\n\n
Traditional surveys are not well-equipped to measure certain concepts of interest such as expenditures, time use or travel behavior due to high burden placed on participants. Facts or behaviors that are difficult to measure through self-report can be measured using new technologies: smartphone apps, sensors, and wearables. For example, accelerometers in smartphones and fitness bracelets can objectively measure physical activity, screen time apps can measure (social) media use. Another possibility is to augment surveys with administrative data or data from digital platforms such as Google, Youtube, Instagram that participants can provide to researchers through data donation, or consent to data linkage. However, to ensure representation, participants have to be willing and able to use their devices to perform such tasks. If participants differ from nonparticipants in key outcomes, research results can be biased. In this webinar, I will present the results of several randomized experiments on the mechanisms of willingness and consent to collect data using smartphone sensors, apps, and wearables in general population surveys, and the extent of nonparticipation bias assessed by linkage of survey data to sensor and administrative data. I will further focus on how these mechanisms translate to data donation of digital trace data, what opportunities and challenges such novel data collection methods hold for the social sciences and official statistics, and outline future research agenda.<\/p>\n","editable":false,"start":"2023-03-29","allDay":true,"end":"2023-03-30","backgroundColor":"#333333"},{"title":"Second Event on Play with Real Data","id":"338-0","eid":"2502","url":"\/events\/node-2502","des":"
Second Event on Play with Real Data<\/a><\/h2>\n
Bu-Ali Sina University (Online)More information<\/p>\n\n
In the event on play with real data, teams interested in working with data receive a real data set and use any analytical method to work on this data in a competitive environment alongside other teams. The committee of judges of the event will check the output of the teams and at the end the winning teams will be announced. We hope that by participating in this event, you will experience a pleasant scientific competition.<\/p>\n","editable":false,"start":"2023-03-01","allDay":true,"end":"2023-03-13","backgroundColor":"#009999"},{"title":"The 7th African International Conference (AIC) on Statistics","id":"339-0","eid":"2503","url":"\/events\/node-2503","des":"
The 7th African International Conference (AIC) on Statistics<\/a><\/h2>\n
Marrakesh, Morocco<\/p>\n\n
$\"\"$ <\/p>\n\n
Cadi Ayyad University (UCA), Moroccan Association of Probability and Statistics, University of Maryland Baltimore County (UMBC), USA and University of Windsor (UW), Canada are proud to hold the 7th African International Conference (AIC) on Statistics<\/a> at the beautiful city of Marrakesh, Morocco from June 12 to 16, 2023. The conference will be jointly organized by the National School of Applied Sciences of Marrakesh, Department of Mathematics-UCA, Department of Mathematics & Statistics-UMBC, and Department of Mathematics & Statistics-UW with a central theme of \u201cAdvanced Statistics and Data Science in Africa\u201d. This conference is partially sponsored by the American Statistical Association (ASA).<\/p>\n","editable":false,"start":"2023-06-13","allDay":true,"end":"2023-06-17","backgroundColor":"#ffffff"},{"title":"ISI Regional Webinar #1: Issues in Australasia","id":"340-0","eid":"2504","url":"\/events\/node-2504","des":"","editable":false,"start":"2022-12-13","allDay":true,"end":"2022-12-14","backgroundColor":"#0000af"},{"title":"ISI Regional Webinar #2: The global role of statisticians in 2023","id":"341-0","eid":"2505","url":"\/events\/node-2505","des":"
ISI Regional Webinar #2: The global role of statisticians in 2023<\/a><\/h2>\n
Watch this webinar<\/p>\n\n
ISI Regional Webinar #2: The global role of statisticians in 2023. What does 2023 hold for statisticians around the world?<\/p>\n","editable":false,"start":"2023-03-06","allDay":true,"end":"2023-03-07","backgroundColor":"#0000af"},{"title":"Future Smart Cities (FSC2023-6th Edition)","id":"342-0","eid":"2506","url":"\/events\/node-2506","des":"
Future Smart Cities (FSC2023-6th Edition)<\/a><\/h2>\n
more information<\/p>\n\n
$\"\"$ <\/p>\n\n
Smart cities are the natural evolution of cities\u2019 formation. They present a harmonious relationship between technological advancement and everyday living. Successful implementation of modern technology in cities stands to help improve multiple aspects of life for current and future generations. This is especially important as, according to the United Nations, it is estimated that people living in cities worldwide will reach 66% of the global population in 30 years, and as the population density booms within cities, the need for smart systems that aid in urban transit management is on the rise, to avoid housing crises, reduce traffic accidents, and introduce an overall smooth transportation system.<\/p>\n","editable":false,"start":"2023-09-18","allDay":true,"end":"2023-09-22","backgroundColor":"#ffffff"},{"title":"IASS Webinar 28: The Production of Microdata on Household Income, Consumption and Wealth at ISTAT: Experiences, Methods, Perspectives","id":"343-0","eid":"2508","url":"\/events\/node-2508","des":"
IASS Webinar 28: The Production of Microdata on Household Income, Consumption and Wealth at ISTAT: Experiences, Methods, Perspectives<\/a><\/h2>\n
Register for free<\/p>\n\n
Abstract<\/strong>:
\nAvailability of joint micro data on income, consumption and wealth is fundamental to measure poverty and living conditions of households, overcoming the measures used up to now based on the observation of a single dimension (mainly income or consumption). The production of official statistics on the joint distribution of income, consumption and wealth at the micro level is an up-to-date priority for National Statistical Institutes as well as a key objective at the European level. The webinar will summarise the ISTAT experience for the production of micro-data on household income, consumption and wealth in Italy. It will present the actions taken in order to fill the gaps in term of data requirements and address the major methodological challenges in using statistical matching (SM) techniques. Specifically, we applied SM to European Union Statistics on Income and Living Conditions (EU-SILC), Household Budget Survey (HBS), both carried out by ISTAT, and to Survey on Household Income and Wealth (SHIW) of the Bank of Italy. The webinar will present the matching exercises to produce an integrated data set on household income and consumption and the deep process of an ex-ante harmonization of EU-SILC and HBS to fulfil those pre-conditions essential for data matching purposes. From the beginning, the work done was mainly directed on defining a sound methodological framework. We tested and applied the traditional statistical matching techniques (nonparametric imputation) and the more innovative methods based on the uncertainty analysis and on the matching of complex sample surveys (Renssen\u2019s weights calibration approach). After the presentation of the main results of the consumption imputation, the problems associated with the imputation of household wealth collected in SHIW will be explained. This is an unprecedented and complex activity but that can benefit from the SM experience accumulated at ISTAT and from the cooperation project with the Bank of Italy to produce micro data on the joint distribution of income, consumption and wealth.<\/p>\n","editable":false,"start":"2023-04-26","allDay":true,"end":"2023-04-27","backgroundColor":"#333333"}],"navLinks":true,"editable":true,"eventLimit":4,"eventOverlap":true}

Required software<\/h3>\n\nR with the R package BasketballAnalyzer already installed.<\/p>\n","editable":false,"start":"2021-06-21","allDay":true,"end":"2021-06-23","backgroundColor":"#0000af"},{"title":"Introduction to Graph Sampling","id":"1-0","eid":"1239","url":"\/courses\/node-1239","des":"

Target audience<\/h2>\n\nThose who are familiar with multiple linear regression. \u00a0I expect someone who got a MS in statistics ten years ago would be a good fit. \u00a0People with stronger backgrounds will still benefit, and probably acquire deeper insights.<\/p>\n\n

Target audience<\/h3>\n\nThis course\u2019s intended audience includes researchers who want to gain basic exposure to analysing recurrent event data with the ultimate goal of incorporating R into their research programs.<\/p>\n\n

Target\u00a0audience<\/h3>\n\nPhD students and postgraduates in\u00a0general.<\/p>\n\n

Target\u00a0audience<\/h3>\n\nStatisticians with interests in High-Performance Computing and large-scale Spatial\u00a0Statistics.<\/p>\n\n

Required\u00a0software<\/h3>\n\nNone.<\/p>\n","editable":false,"start":"2022-04-25","allDay":true,"end":"2022-04-26","backgroundColor":"#3a87ad"},{"title":"Financial Accounts \u2013 Concepts, compilation and use","id":"8-0","eid":"1271","url":"\/courses\/node-1271","des":"

Target\u00a0audience<\/h3>\n\nStatisticians in central banks and statistical authorities. Researchers, economists and other users interested in an overview of financial accounts, its main features and\u00a0uses.<\/p>\n\n

Required\u00a0software<\/h3>\n\nMicrosoft\u00a0Word.<\/p>\n","editable":false,"start":"2022-03-24","allDay":true,"end":"2022-03-25","backgroundColor":"#0000af"},{"title":"Bootstrap Methods and Permutation Tests","id":"11-0","eid":"1276","url":"\/courses\/node-1276","des":"

Target\u00a0audience<\/h3>\n\nPracticing statisticians and students. This is not a highly technical\u00a0course.<\/p>\n\n

Target\u00a0audience<\/h3>\n\nGeneral audience. Some exposure to using R is recommended although not strictly\u00a0required.<\/p>\n\n

V Simposio de Estadistica, Probabilidad e Inferencia en el Aula<\/h2>\nOrganized by the Early Statistics Research Group of the Pontificia Universidad Catolica de Valparaiso, Chile.<\/p>\n\n

GIS for Official Statistics and Census<\/h2>\n29 June and 20 July 2021<\/p>\n\nJoin us for two exclusive webinars on how to utilize the power of GIS in your official statistics and census.<\/p>\n\n\n

Required software<\/h3>\n\n
R with the R package BasketballAnalyzer already installed.<\/p>\n","editable":false,"start":"2021-06-21","allDay":true,"end":"2021-06-23","backgroundColor":"#0000af"},{"title":"Introduction to Graph Sampling","id":"1-0","eid":"1239","url":"\/courses\/node-1239","des":"

Target audience<\/h2>\n\n
Those who are familiar with multiple linear regression. \u00a0I expect someone who got a MS in statistics ten years ago would be a good fit. \u00a0People with stronger backgrounds will still benefit, and probably acquire deeper insights.<\/p>\n\n

Target audience<\/h3>\n\n
This course\u2019s intended audience includes researchers who want to gain basic exposure to analysing recurrent event data with the ultimate goal of incorporating R into their research programs.<\/p>\n\n

Target\u00a0audience<\/h3>\n\n
PhD students and postgraduates in\u00a0general.<\/p>\n\n

Target\u00a0audience<\/h3>\n\n
Statisticians with interests in High-Performance Computing and large-scale Spatial\u00a0Statistics.<\/p>\n\n

Required\u00a0software<\/h3>\n\n
None.<\/p>\n","editable":false,"start":"2022-04-25","allDay":true,"end":"2022-04-26","backgroundColor":"#3a87ad"},{"title":"Financial Accounts \u2013 Concepts, compilation and use","id":"8-0","eid":"1271","url":"\/courses\/node-1271","des":"

Target\u00a0audience<\/h3>\n\n
Statisticians in central banks and statistical authorities. Researchers, economists and other users interested in an overview of financial accounts, its main features and\u00a0uses.<\/p>\n\n

Required\u00a0software<\/h3>\n\n
Microsoft\u00a0Word.<\/p>\n","editable":false,"start":"2022-03-24","allDay":true,"end":"2022-03-25","backgroundColor":"#0000af"},{"title":"Bootstrap Methods and Permutation Tests","id":"11-0","eid":"1276","url":"\/courses\/node-1276","des":"

Target\u00a0audience<\/h3>\n\n
Practicing statisticians and students. This is not a highly technical\u00a0course.<\/p>\n\n

Target\u00a0audience<\/h3>\n\n
General audience. Some exposure to using R is recommended although not strictly\u00a0required.<\/p>\n\n

GIS for Official Statistics and Census<\/h2>\n
29 June and 20 July 2021<\/p>\n\n
Join us for two exclusive webinars on how to utilize the power of GIS in your official statistics and census.<\/p>\n\n
\n