Home

Membership

Community

Events and Awards

Media

About ISI

Resources

SCB

  • Register

The webinar course was supported by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the International Association for Statistical Computing (IASC), the International Statistical Institute (ISI), the World Bank, and the Statistical Capacity Building Program.

Geostatistical Functional Data Analysis

23-25 February 2021

The Latin American Regional Section of the IASC, the IASC-LARS School on Computational Statistics and Data Science, the IASC and the ISI held a second and successful IASC-LARS Webinar on Computational Statistics and Data Science. The webinar course “Geostatistical Functional Data Analysis” was team-taught by Professors Martha Bohorquez and Rubén Guevara from Universidad Nacional de Colombia, Colombia, from February 23-25, 2021. The course had one collaborator, Juan Guevara from Universidad Nacional de Colombia. 

One hundred and eighty-five students completed their registration form on the IASC webpage. Of these 185 students, 71 attended the course. One hundred and thirty-eight students pre-registered for the course on the GTW platform. From now on, we will centralize student enrollment and data collection on the GTW platform. The course was attended by 84 students, 71 students submitted their registration forms, 53 (63%) students attended on 2 or 3 days. Participants came from 23 countries, from Latin America –Brazil, Chile, Colombia, Costa Rica, México, and Uruguay and from countries as far as away as Algeria, Germany, Ghana, India, Indonesia, Italy, Kenya, Nigeria, Pakistan, Palestine, Philippines, Rwanda, South Africa, Tanzania, Turkey, and the USA. Most of the students were undergraduate, master and PhD students (38%), also attending academics and researchers (38%), and professionals coming from government institutions and private industry, 18% of the students were female.

The International Organizing Committee consisted of Alba Martínez-Ruiz IASC-LARS Scientific Secretary (Chile), David Muñoz-Negron IASC-LARS Chairperson (Mexico), and Luis Firinguetti-Limone IASC Webinar Coordinator & Webinar Host (Chile). Katie Junasova, Junior Webmaster at the International Statistical Institute, provided support with the organization and the GoToWebinar platform.

The webinar course was supported by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the International Association for Statistical Computing (IASC), the International Statistical Institute (ISI), and the Statistical Capacity Building Program.

Objectives of the IASC-LARS School on Computational Statistics and Data Science

  1. To spread the knowledge base and advances in Statistical Computing 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 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.

Agenda and course program.

 

Tuesday, February 23, 9.00 am.

  • Background
    ✓ Spatial and spatio-temporal scalar random fields
    ✓ Kriging
    ✓ cokriging
    ✓ Examples

Wednesday, February 24, 9.00 am

  • Multivariate spatial functional random field
    ✓ Introduction to functional data analysis
    ✓ Recent advances in spatial functional data
    ✓ Functional principal components
    ✓ Examples

Thursday, February 25, 9.00 am

Number of students by day

Date Attendance
Tuesday, Feb. 23 70
Wednesday, Feb. 24 57
Thursday, Feb. 25 50
Total (without replication) 84

Not all the students attended the first day.
Number of students with registration form (country, gender, and occupation): 71.

Number of students attending 1, 2 or 3 days

Category Attendance Percentage (%)
1 31 36.90
2 13 66.67
3 40 15.48
Total 84 100.00


53 students attended on 2 or more days.

Number of students by gender

Gender Attendance Percentage (%)
Female 15 17.86
Male 56 66.67
No information 13 15.48
Total 84 100.00

 

Number of students by occupation

Occupation Attendance Percentage (%)
Undergraduate, master and PhD students 32 38.10
Academic and researchers 32 38.10
Government institutions 4 4.76
Private industry 2 2.38
No information 14 16.67
Total 84 100.00

 

Number of students by country

Country Attendance Percentage (%)
Algeria 1 1.19
Brazil 14 16.67
Chile 2 2.38
Colombia 3 3.57
Costa Rica 4 4.76
Germany 1 1.19
Ghana 1 1.19
India 1 1.19
Indonesia 1 1.19
Italy 4 4.76
Kenya 3 3.57
Mexico 5 5.95
Nigeria 16 19.05
Pakistan 1 1.19
Palestine 1 1.19
Philippines 1 1.19
Rwanda 2 2.38
South Africa 3 3.57
Tanzania 2 2.38
Turkey 2 2.38
Uganda 1 1.19
Uruguay 1 1.19
USA 1 1.19
No information 13 15.48
Total 84 100.00

29 (34.52%) students are from Latin America, 29 (34.52%) from Africa, 7 (8.33%) from Asia, 5 (5.95%) from Europe, 1 (1.19%) from the USA, no information for 13 (15.48%) students. 

Report prepared and sent on March 19, 2021,
by Alba Martinez-Ruiz,
IASC-LARS Scientific Secretary.

Statistical Inference in Markov Processes

23-26 November 2020

The Latin American Regional Section of the IASC, the IASC-LARS School on Computational Statistics and Data Science, the IASC and the ISI held a first and successful IASC-LARS Webinar on Computational Statistics and Data Science. The webinar course “Statistical Inference in Markov Processes” was team-taught by Professors Verónica González-López and Jesús E. García from University of Campinas, Brazil, from November 23-26, 2020. The course had two collaborators, Mariela Fernández at B3 and Márcio Lanfredi Viola at Federal University of São Carlos, Brazil.

The course was attended by 71 students, 50 students attended on 2 or more days, 56 students submitted their registration forms. Participants came from 24 countries, from Latin America –Argentina, Brazil, Chile, and Uruguay and from countries as far as away as Algeria, Austria, Bangladesh, Benin, Ethiopia, Germany, Ghana, Iceland, India, Indonesia, Italy, Kenya, Malaysia, Mali, Nigeria, Pakistan, Philippines, South Africa, Sri Lanka, and the USA. Most of the students were undergraduate, master and PhD students (52%), also attending academics and researchers (20%), and professionals coming from government institutions and private industry, 24% of the students were female.

The International Organizing Committee consisted of Luis Firinguetti-Limone IASC Webinar Coordinator & Webinar Host (Chile), David Muñoz-Negron IASC-LARS Chairperson (Mexico), and Alba Martínez-Ruiz IASC-LARS Scientific Secretary (Chile). Katie Junasova, Junior Webmaster at the International Statistical Institute, provided support with the organization and the GoToWebinar platform. 

The webinar course was supported by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the International Association for Statistical Computing (IASC), the International Statistical Institute (ISI), the World Bank, and the Statistical Capacity Building Program.

Objectives of the IASC-LARS School on Computational Statistics and Data Science

  1. To spread the knowledge base and advances in Statistical Computing 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 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.

Agenda and course program.

 

Monday, November 23, 9.00 am.

Tuesday, November 24, 9.00 am

Wednesday, November 25, 9.00 am

Thursday, November 26, 9.00 am

Number of students by day

Date Attendance
Monday, Nov. 23 60
Tuesday, Nov. 24 51
Wednesday, Nov. 25 37
Thursday, Nov. 26 34
Total (without replication) 71

Number of students with registration form (country, gender, and occupation): 56.

Number of students attending 1, 2, 3 or 4 days

Category Attendance Percentage (%)
1 21 29.58
2 14 19.72
3 11 15.49
4 25 35.21
Total 71 100.00

50 students attended on 2 or more days.

 

Number of students by gender

Gender Attendance Percentage (%)
Female 17 23.94
Male 39 54.93
No information 15 21.13
Total 71 100.00

 

Number of students by occupation

Occupation Attendance Percentage (%)
Undergraduate, master and PhD students 37 52.11
Academic and researchers 14 19.72
Government institutions 2 2.82
Private industry 2 2.82
No information 16 22.54
Total 71 100.00

 

Number of students by country

Country Attendance Percentage (%)
Algeria 1 1.41
Argentina 1 1.41
Austria 1 1.41
Bangladesh 1 1.41
Benin 1 1.41
Brazil 5 7.04
Chile 2 2.82
Ethiopia 1 1.41
Germany 1 1.41
Ghana 1 1.41
Iceland 1 1.41
India 3 4.23
Indonesia 2 2.82
Italy 3 4.23
Kenia 16 22.54
Malaysia 1 1.41
Mali 1.41
Nigeria 7 9.86
Pakistan 1 1.41
Philippines 1 1.41
South Africa 1 1.41
Sri Lanka 1 1.41
Uruguay 1 1.41
USA 3 4.23
No information 15 21.13
Total 71 100.00

 

Report sent on December 11, 2020.
Alba Martinez-Ruiz, IASC-LARS Scientific Secretary.