Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.
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.
Sir Peter James Donnelly is an Australian-British mathematician and Professor of Statistical Science at the University of Oxford, and the CEO of Genomics PLC. He is a specialist in applied probability and has made contributions to coalescent theory. His research group at Oxford has an international reputation for the development of statistical methodology to analyze genetic data.
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.
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. It publishes the electronic journal Bayesian Analysis and organizes world meetings every other year.
Peter Gavin Hall was an Australian researcher in probability theory and mathematical statistics. The American Statistical Association described him as one of the most influential and prolific theoretical statisticians in the history of the field. The School of Mathematics and Statistics Building at The University of Melbourne was renamed the Peter Hall building in his honour on 9 December 2016.
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.
Christopher Charles Heyde AM was a prominent Australian statistician who did leading research in probability, stochastic processes and statistics.
Edward James HannanFAA FASSA was an Australian statistician who is the co-discoverer of the Hannan–Quinn information criterion. He studied at the University of Melbourne and completed a PhD at the Australian National University under the supervision of Patrick A. P. Moran.
Robin John Hyndman is an Australian statistician known for his work on forecasting and time series. He is Professor of Statistics at Monash University and was Editor-in-Chief of the International Journal of Forecasting from 2005–2018. In 2007 he won the Moran Medal from the Australian Academy of Science for his contributions to statistical research. In 2021 he won the Pitman Medal from the Statistical Society of Australia.
Aurore Delaigle is a Professor and ARC Future Fellow in the Department of Mathematics and Statistics at the University of Melbourne, Australia. Her research interests include nonparametric statistics, deconvolution and functional data analysis.
Ruth Jeannette Williams is an Australian-born American mathematician at the University of California, San Diego where she holds the Charles Lee Powell Chair as a Distinguished Professor of Mathematics. Her research concerns probability theory and stochastic processes.
Noel Andrew Cressie is an Australian and American statistician. He is Distinguished Professor and Director, Centre for Environmental Informatics, at the University of Wollongong in Wollongong, Australia.
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.
Judith Rousseau is a Bayesian statistician who studies frequentist properties of Bayesian methods. She is a professor of statistics at the University of Oxford, a Fellow of Jesus College, Oxford, a Fellow of the Institute of Mathematical Statistics, and a Fellow of the International Society for Bayesian Analysis.
Gael Margaret Martin is an Australian Bayesian econometrician, known for her work in simulation-based inference and time series analysis of non-Gaussian data. She is a professor of econometrics and business statistics at Monash University, an associate investigator in the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers, and a Fellow of the Academy of the Social Sciences in Australia.
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.
