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PhD and Master students, researchers in statistics and data analysis are invited to participate in this webinar taking place on 29-30 April 2021, 14.00-17.00 CEST.

IASC

The European Regional Section of the International Association for Statistical Computing (IASC-ERS), the International Association for Statistical Computing (IASC), and the International Statistical Institute (ISI) are pleased to invite PhD students, Master students and also researchers in statistics and data analysis to attend the IASC-ERS Webinar Course “An Introduction to Functional Data Analysis for Density Functions in Bayes spaces”. The course will be team-taught by Alessandra Menafoglio (Politecnico di Milano, Italy), Karel Hron and Jitka Machalová (Palacký University, Olomouc, Czech Republic). It will take place online on April 29-30, 2021, from 14h00 to 17h00, Rome-Prague, GMT+2.

The IASC-ERS Courses aim to spread the knowledge base and advances in Statistical Computing in Europe and the wide world, to provide an overview of the state-of-the-art of the ongoing research in computational statistics, to provide an overall perspective of the application of computational statistics in data science problems, to present applications where computational statistics have been crucial to solve problems in real-life applications, and to increase the number of researchers and practitioners in computational statistics and data science.

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. 

Instructors:

  • Alessandra Menafoglio (Politecnico di Milano, Italy)
  • Karel Hron (Palacký University, Olomouc, Czech Republic)
  • Jitka Machalova (Palacký University, Olomouc, Czech Republic)

Topics:

  • The geometry of Bayes spaces
  • Smoothing splines for densities
  • Dimensionality reduction in Bayes spaces: Simplicial Functional Principal Component Analysis
  • Anomaly detection for density data based on control charts
  • Density-on-scalar, scalar-on-density and density-on-density functional regression
  • Spatial statistics for distributional observations: spatial modeling & kriging

Agenda

(Local time: Rome-Prague, GMT+2)

Thursday, April 29th 2021:

  • Opening: 14h00 – 14h15
  • Session 1: 14h15 – 15h00 (The geometry of Bayes spaces)
  • Session 2: 15h10 – 15h55 (Smoothing splines for densities)
  • Session 3: 16h05 – 16h50 (Dimensionality reduction in Bayes spaces: Simplicial Functional Principal Component Analysis)

Friday, April 30th 2021:

  • Session 1: 14h00 – 14h45 (Anomaly detection for density data based on control charts)
  • Session 2: 14h55 – 15h40 (Density-on-scalar, scalar-on-density and density-on-density functional regression)
  • Session 3: 15h50 – 16h35 (Spatial statistics for distributional observations: spatial modeling & kriging)
  • Closing: 16h35 – 16h45

Registration procedure

The IASC-ERS Webinar “An Introduction to Functional Data Analysis for Density Functions in Bayes spaces” will be held virtually using the platform GoToWebinar from April 29-30, 2021. The official language is English. The registration deadline for early registration is Tuesday, April 27th 2021. The course is free of charge.

Please complete the IASC-ERS Webinar Registration Form. If you have any questions or you need any help, please do not hesitate to contact us at iasc.ers.21@gmail.com.

To become an IASC-ERS member, please complete the Membership Application Form.

All participants are expected to adhere to the ISI Community Principles and Conduct Policy.

More information about GoToWebinar please visit www.gotomeeting.com/webinar. GoToWebinar application is also available for iOS, Android and Windows Phone.