International Association for Statistical Computing

The International Association for Statistical Computing^[1] was founded during the 41st Session of the International Statistical Institute in 1977, as a section of the ISI.^[2]

The objectives of the association are to foster worldwide interest in effective statistical computing and to exchange technical knowledge through international contacts and meetings between statisticians, computing professionals, organizations, institutions, governments and the general public.

The association is affiliated with the International Federation for Information Processing (IFIP). It publishes the journal called Computational Statistics & Data Analysis (CSDA)^[3] and Statistical Software Newsletter (CSDA SSN).^[4]

Past presidents

Mervin E. Muller (USA) 1977–1979
Sir Maurice Kendall (UK) and Wilfried J. Dixon (USA) 1979–1981
Ramanathan Gnanadesikan (India) 1981–1983
Svein Nordbotten (Norway) 1983–1985
Klaus Neumann (GDR) 1985–1987
Masashi Okamoto (Japan) 1987–1989
John M. Chambers (USA) 1989–1991
Norbert Victor (Germany) 1991–1993
Natale Carlo Lauro (Italy) 1993–1995
Murray A. Cameron (Australia) 1995–1997
Edward J. Wegman (USA) 1997–1999
Lutz Edler (Germany) 1999–2001
Jae C. Lee (Korea) 2001–2003
Stanley P. Azen (USA) 2003–2005
Gilbert Saporta (France) 2005–2007
Jaromir Antoch (France) 2007–2009
Yutaka Tanaka (Japan) 2009–2011
Karen Kafadar (USA) 2011–2013
Paula Brito (Portugal) 2013–2015
Patrick Groenen (Netherlands) 2015–2017
Wing Kam Fung (Hong Kong) 2017–2019
Jürgen Symanzik (USA) 2019-2021

Current president

Christophe Croux (France) 2021-2023

Data Analysis Competition

Results of previous competitions
Year	Result
2013^[5]	Winner 1: Authors: Kim, C., and Choi, S. (University of Florida) Title: Marginal Structural Models for Causal effects of Higher Education Rates on Cancer Mortality Rates: Should we make our society highly educated? Winner 2: Authors: Takagishi, M., Hirotsuru, K., Mitsuhiro, M., Kusaka, T., and Yadohisa, H. (Doshisha University) Title: Educational feature extraction across nations using UNdata
2014^[6]	Winner: Authors: David Kepplinger (Vienna University of Technology, Austria and United Nations Industrial Development Organization), Valentin Todorov (United Nations Industrial Development Organization), and Shyam Upadhyaya (United Nations Industrial Development Organization) Title: How industrial development effects the well-being of population: A detailed analysis to reveal the underlying mechanics
2015^[7]	Winner: Authors: Seungwon Lee, Chengxing Zhai, Lei Pan, Benyang Tang and Jonathan Jiang (Jet Propulsion Laboratory, California Institute of Technology) Title: Climate Model Diagnostic Analysis with Conditional Sampling
2021^[8]^[9]	1st Place: Authors: J. Sousa Pimentel (Federal University of Bahia, Federal University of Pernambuco), R. Bulhoes (Federal University of Bahia, Federal University of Rio de Janeiro), V. Mesquita (Federal University of Bahia, University of São Paulo), P. Canas Rodrigues (Federal University of Bahia) Title: Spatio-temporal modelling of Brazilian wildfires 2nd Place: Author: G. Zammarchi Title: Impact of the COVID-19 outbreak on Italy’s country reputation: a sentiment analysis approach 3rd Place: Author: S. A Kharroubi Title: A Bayesian nonparametric approach for modelling health-related quality of life data^[10] Honorable Mention: Chih-Ling Chen, Qian-Wu Liao, H. Dahmani: HIV with antiretroviral therapy in Sub-Saharan Africa S. Gurria, A. Brito, J. Esteban Borja, J. Fullaondo, Y. Abdel Nasser: Factors that influence the GPA of high school students
2023^[11]^[12]	1st Place: Authors: Zoë-Mae Adams and Johané Nienkemper-Swanepoel (Stellenbosch University) Title: Visualising opinions on the COVID-19 pandemic 2nd Place: Authors: Cheng, Weilin; Liu, Hengyuan; Mo, Kathy (University of California, Davis); Tian, Sida and Yuan, Li (University of Michigan) Title: 2022-2023 H5N1 bird flu modeling and prediction in the United States^[13] 3rd Place: Authors: Marcelo Bourguignon (Federal University of Rio Grande do Norte), Diego I. Gallardo (University of Atacama) and Helton Saulo (University of Brasília) Title: A parametric quantile beta regression for modeling case fatality rates of COVID-19^[14] Honorable Mention: Stefanie Bienert and Christopher Patzanovsky (Hasselt University): New York City shooting incidents, a wicked challenge Olalekan J. Akintande (University of Ibadan): Japa Syndrome: The new normal of abnormality in Nigeria

Notes

^ About IASC
^ International Statistical Institute, Congress (1977). Proceedings of the 41st session of the International Statistical Institute (Actes de la 41ème session [de l'Institut international de statistique). Bulletin of the International Statistical Institute. New Delhi: International Statistical Institute. Books 1–3 Invited papers. 4 v. Articles in English and French.
^ Computational Statistics & Data Analysis journal home page).
^ CSDA Statistical Software Newsletter Archived 2011-11-20 at the Wayback Machine.
^ "Data Analysis Competition (2013 edition)". IASC-ISI. February 3, 2013. Retrieved 2023-04-29.
^ "Data Analysis Competition (2014 edition)". IASC-ISI. January 17, 2014. Retrieved 2023-04-29.
^ "Data Analysis Competition (2015 edition)". IASC-ISI. February 1, 2015. Retrieved 2023-04-29.
^ "Call of the Data Analysis Competition (2021 edition)". IASC-ISI. September 10, 2020. Retrieved 2023-04-29.
^ "Results of the IASC Data Analysis Competition 2021". IASC-ISI. May 26, 2021. Retrieved 2023-04-29.
^ Kharroubi, Samer A. (2022-01-01). "A Bayesian Nonparametric Approach for Modeling SF-6D Health State Utility Scores". Value in Health Regional Issues. 27: 1–11. doi:10.1016/j.vhri.2021.02.004. ISSN 2212-1099. PMID 34784542.
^ "Call of the Data Analysis Competition 2023". IASC-ISI. October 11, 2022. Retrieved 2023-04-29.
^ "Results of the IASC Data Analysis Competition 2023". IASC-ISI. April 21, 2023. Retrieved 2023-04-29.
^ "2022-2023 H5N1 Bird Flu Modeling and Prediction in the United States". h5n1.gd.edu.kg. Retrieved 2023-11-25.
^ Bourguignon, Marcelo; Gallardo, Diego I.; Saulo, Helton (2021-10-09). "A parametric quantile beta regression for modeling case fatality rates of COVID-19". arXiv:2110.04428v1 [stat.ME].

External links

International Association for Statistical Computing IASC home page
Computational Statistics & Data Analysis Journal home page

[1] About IASC

[2] International Statistical Institute, Congress (1977). Proceedings of the 41st session of the International Statistical Institute (Actes de la 41ème session [de l'Institut international de statistique). Bulletin of the International Statistical Institute. New Delhi: International Statistical Institute. Books 1–3 Invited papers. 4 v. Articles in English and French.

[3] Computational Statistics & Data Analysis journal home page).

[4] CSDA Statistical Software Newsletter Archived 2011-11-20 at the Wayback Machine.

[5] "Data Analysis Competition (2013 edition)". IASC-ISI. February 3, 2013. Retrieved 2023-04-29.

[6] "Data Analysis Competition (2014 edition)". IASC-ISI. January 17, 2014. Retrieved 2023-04-29.

[7] "Data Analysis Competition (2015 edition)". IASC-ISI. February 1, 2015. Retrieved 2023-04-29.

[8] "Call of the Data Analysis Competition (2021 edition)". IASC-ISI. September 10, 2020. Retrieved 2023-04-29.

[9] "Results of the IASC Data Analysis Competition 2021". IASC-ISI. May 26, 2021. Retrieved 2023-04-29.

[10] Kharroubi, Samer A. (2022-01-01). "A Bayesian Nonparametric Approach for Modeling SF-6D Health State Utility Scores". Value in Health Regional Issues. 27: 1–11. doi:10.1016/j.vhri.2021.02.004. ISSN 2212-1099. PMID 34784542.

[11] "Call of the Data Analysis Competition 2023". IASC-ISI. October 11, 2022. Retrieved 2023-04-29.

[12] "Results of the IASC Data Analysis Competition 2023". IASC-ISI. April 21, 2023. Retrieved 2023-04-29.

[13] "2022-2023 H5N1 Bird Flu Modeling and Prediction in the United States". h5n1.gd.edu.kg. Retrieved 2023-11-25.

[14] Bourguignon, Marcelo; Gallardo, Diego I.; Saulo, Helton (2021-10-09). "A parametric quantile beta regression for modeling case fatality rates of COVID-19". arXiv:2110.04428v1 [stat.ME].

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