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Formation | 1992 |
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Type | Learned society |
Purpose | Bayesian statistics |
President | Amy Herring |
President Elect | Aad van der vaart |
Past President | Sudipto Banerjee |
Website | bayesian |
The International Society for Bayesian Analysis (ISBA) is a society with the goal of promoting Bayesian analysis for solving problems in the sciences and government. It was formally incorporated as a not for profit corporation by economist Arnold Zellner and statisticians Gordon M. Kaufman and Thomas H. Leonard on 10 November 1992. [1] It publishes the electronic journal Bayesian Analysis and organizes world meetings every other year.
ISBA is an "official partner" of the Joint Statistical Meetings. [2]
The president of ISBA is elected annually. Service typically lasts three years, since the offices of President Elect and Past President are also official positions.
Alexander Philip Dawid is Emeritus Professor of Statistics of the University of Cambridge, and a Fellow of Darwin College, Cambridge. He is a leading proponent of Bayesian statistics.
Stephen Elliott Fienberg was a professor emeritus in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the Annual Review of Statistics and Its Application and of the Journal of Privacy and Confidentiality.
Dennis Victor Lindley was an English statistician, decision theorist and leading advocate of Bayesian statistics.
Arnold Zellner was an American economist and statistician specializing in the fields of Bayesian probability and econometrics. Zellner contributed pioneering work in the field of Bayesian analysis and econometric modeling.
Sylvia Therese Richardson is a French/British Bayesian statistician and is currently Professor of Biostatistics and Director of the MRC Biostatistics Unit at the University of Cambridge. In 2021 she became the president of the Royal Statistical Society for the 2021–22 year.
The Joint Statistical Meetings (JSM) is a professional conference/academic conference for statisticians and data scientists held annually every year since 1840. Billed as "the largest gathering of statisticians held in North America", JSM has attracted over 5000 participants in recent years. The following statistical societies are designated as official JSM partners:
José-Miguel Bernardo Herranz is a Spanish mathematician and statistician. He is a noted Bayesian and known for introducing the concept of reference priors.
Herman Koene van Dijk is a Dutch economist Consultant at the Research Department of Norges Bank and Professor Emeritus at the Econometric Institute of the Erasmus University Rotterdam, known for his contributions in the field of Bayesian analysis.
Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is Professor of Biostatistics and Senior Associate Dean in the School of Public Health at the University of California, Los Angeles. He served as the Chair of the Department of Biostatistics at UCLA from 2014 through 2023. He served as the elected President of the International Society for Bayesian Analysis in 2022.
Thomas Hoskyns Leonard was a British statistician. He obtained a doctorate in Statistics at the University of London and worked at the University of Warwick and the University of Wisconsin-Madison, before taking up the Chair of Statistics at the University of Edinburgh in 1995.
Kerrie Mengersen is an Australian statistician, distinguished Professor of Statistics at Queensland University of Technology, and 2024 winner of the Ruby Payne-Scott Medal from the Australian Academy of Science.
Merlise Aycock Clyde is an American statistician known for her work in model averaging for Bayesian statistics. She is a professor of Statistical Science and immediate past chair of the Department of Statistical Science at Duke University. She was president of the International Society for Bayesian Analysis (ISBA) in 2013, and chair of the Section on Bayesian Statistical Science of the American Statistical Association for 2018.
Amy Helen Herring is an American biostatistician interested in longitudinal data and reproductive health. Formerly the Carol Remmer Angle Distinguished Professor of Children's Environmental Health at the University of North Carolina at Chapel Hill, she is now Sara & Charles Ayres Distinguished Professor in the Department of Statistical Science, Global Health Institute, and Department of Biostatistics & Bioinformatics of Duke University.
Cathy Woan-Shu Chen is a Taiwanese statistician, who works as a distinguished professor of statistics at Feng Chia University and was editor-in-chief of the Journal of Economics and Management. In 2016, she was elected as a Fellow of the American Statistical Association. Her research interests include Bayesian methods and economic statistics. In 2020, she was elected as a Fellow of the International Society for Bayesian Analysis.
Sonia Petrone is an Italian mathematical statistician, known for her work in Bayesian statistics, including use of Bernstein polynomials for nonparametric methods in Bayesian statistics.[RBP][BDE][CPP] With Patrizia Campagnoli and Giovanni Petris she is the author of the book Dynamic Linear Models with R .[DLM]
Raquel Prado is a Venezuelan Bayesian statistician. She is a professor of statistics in the Jack Baskin School of Engineering of the University of California, Santa Cruz, and has been elected president of the International Society for Bayesian Analysis for the 2019 term.
Fabrizio Ruggeri is an Italian statistician. He is Research Director at the National Research Council Istituto di matematica applicata e tecnologie informatiche (CNR-IMATI) in Milan, Italy. His work focusses on Bayesian methods, specifically robustness and stochastic process inference. He has done innovative work on sensitivity of Bayesian methods and incompletely specified priors. He has worked on Bayesian wavelet methods, and on a vast variety of applications to industrial problems. His publications include well over 150 refereed papers and book chapters, as well as five books.
Christian P. Robert is a French statistician, specializing in Bayesian statistics and Monte Carlo methods.
Mike West is an English and American statistician. West works primarily in the field of Bayesian statistics, with research contributions ranging from theory to applied research in areas including finance, commerce, macroeconomics, climatology, engineering, genomics and other areas of biology. Since 1999, West has been the Arts & Sciences Distinguished Professor of Statistics & Decision Sciences in the Department of Statistical Science at Duke University.
Steve MacEachern is an American Statistician. MacEachern is a Distinguished Arts & Sciences Professor of Statistics at the Ohio State University. He received his B.A. in Mathematics from Carleton College in 1982 and his Ph.D. in Statistics from the University of Minnesota in 1988. His doctoral work focused on nonparametric Bayesian methods under the guidance of Don Berry. MacEachern joined the faculty at Ohio State in 1988 and has been a member of the Department of Statistics ever since. He has a courtesy appointment as a Professor in the Department of Psychology. He is best known for Bayesian modeling and computation, with a particular emphasis on dependent Dirichlet processes. He has published extensively in leading statistical journals, and his work has had a significant impact on the field.