Nalini Ravishanker is an Indian statistician interested in time series analysis and applications of statistics to actuarial science, business, and transportation. She is a professor of statistics at the University of Connecticut, [1] co-editor-in-chief of International Statistical Review , [2] [3] and president of the International Society for Business and Industrial Statistics for 2015–2017. [4]
Ravishanker earned a bachelor's degree in statistics in 1981 from Presidency College, Chennai. She completed her PhD in 1987 from the New York University Stern School of Business. After a temporary position at the IBM Thomas J. Watson Research Center she joined the Connecticut faculty in 1989. [1]
With Dipak K. Dey, Ravishanker is the author of A First Course in Linear Model Theory (Chapman & Hall, 2001; 2nd ed., 2017). [5] She is also one of the editors of Handbook of Discrete-Valued Time Series (Chapman & Hall, 2015).
Ravishanker is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. [1] She was named to the 2021 class of Fellows of the American Association for the Advancement of Science. [6]
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.
Ingram Olkin was a professor emeritus and chair of statistics and education at Stanford University and the Stanford Graduate School of Education. He is known for developing statistical analysis for evaluating policies, particularly in education, and for his contributions to meta-analysis, statistics education, multivariate analysis, and majorization theory.
Nancy Margaret Reid is a Canadian theoretical statistician. She is a professor at the University of Toronto where she holds a Canada Research Chair in Statistical Theory. In 2015 Reid became Director of the Canadian Institute for Statistical Sciences.
William Wager Cooper was an American operations researcher, known as a father of management science and as "Mr. Linear Programming". He was the founding president of The Institute of Management Sciences, founding editor-in-chief of Auditing: A Journal of Practice and Theory, a founding faculty member of the Graduate School of Industrial Administration at the Carnegie Institute of Technology, founding dean of the School of Urban and Public Affairs at CMU, the former Arthur Lowes Dickinson Professor of Accounting at Harvard University, and the Foster Parker Professor Emeritus of Management, Finance and Accounting at the University of Texas at Austin.
Bani K. Mallick is a Distinguished Professor and Susan M. Arseven `75 Chair in Data Science and Computational Statistics in the Department of Statistics at Texas A&M University in College Station. He is the Director of the Center for Statistical Bioinformatics. Mallick is well known for his contribution to the theory and practice of Bayesian semiparametric methods and uncertainty quantification. Mallick is an elected fellow of American Association for the Advancement of Science, American Statistical Association, Institute of Mathematical Statistics, International Statistical Institute and the Royal Statistical Society. He received the Distinguished research award from Texas A&M University and the Young Researcher award from the International Indian Statistical Association.
Ilse Clara Franziska Ipsen is a German-American mathematician who works as a professor of mathematics at North Carolina State University. She was formerly associate director of the Statistical and Applied Mathematical Sciences Institute, a joint venture of North Carolina State and other nearby universities.
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.
Alan Enoch Gelfand is an American statistician, and is currently the James B. Duke Professor of Statistics and Decision Sciences at Duke University. Gelfand’s research includes substantial contributions to the fields of Bayesian statistics, spatial statistics and hierarchical modeling.
Marie Davidian is an American biostatistician known for her work in longitudinal data analysis and precision medicine. She is the J. Stuart Hunter Distinguished Professor of Statistics at North Carolina State University. She was president of the American Statistical Association for 2013.
Jennifer Ann Hoeting is an American statistician known for her work with Adrian Raftery, David Madigan, and others on Bayesian model averaging. She is a professor of statistics at Colorado State University, and executive editor of the open-access journal Advances in Statistical Climatology, Meteorology and Oceanography, published by Copernicus Publications. With Geof H. Givens, a colleague at Colorado State, she is the author of Computational Statistics, a graduate textbook on computational methods in statistics.
Dorothy Morrow Gilford was an American statistician who headed the Division of Mathematical Sciences at the Office of Naval Research, the National Center for Education Statistics, and the Conference Board of the Mathematical Sciences. She was the editor of The Aging Population in the Twenty-First Century: Statistics for Health Policy.
Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, where she leads a project focused on discovering genes associated with autism.
Wendy L. Martinez is an American statistician. She directs the Mathematical Statistics Research Center of the Bureau of Labor Statistics, and is the coordinating editor of the journal Statistics Surveys. In 2018, Martinez was elected president of the American Statistical Association for the 2020 term.
Carol Anne Gotway Crawford is an American mathematical statistician and from 2018 to 2020 served as Chief Statistician of the U.S. Government Accountability Office (GAO). She joined the GAO in May 2017. From August 2014 to April 2017, she was with the Department of Agriculture's National Agricultural Statistics Service. She was formerly at the National Center for Environmental Health of the Centers for Disease Control and Prevention. She also holds an adjunct faculty position at the Rollins School of Public Health of Emory University, and is an expert in biostatistics, spatial analysis, environmental statistics, and the statistics of public health. She also maintains an interest in geoscience and has held executive roles in the International Association for Mathematical Geosciences.
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]
Janet Turk Wittes is an American statistician known for her work on clinical trials.
Dipak Kumar Dey is an Indian-American statistician best known for his work on Bayesian methodologies. He is currently the Board of Trustees Distinguished Professor in the Department of Statistics at the University of Connecticut. Dey has an international reputation as a statistician as well as a data scientist. Since he earned a Ph.D. degree in statistics from Purdue University in 1980, Dey has made tremendous contributions to the development of modern statistics, especially in Bayesian analysis, decision science and model selection. Dey has published more than 10 books and edited volumes, and over 260 research articles in peer-refereed national and international journals. In addition, the statistical methodologies that he has developed has found wide applications in a plethora of interdisciplinary and applied fields, such as biometry and bioinformatics, genetics, econometrics, environmental science, and social science. Dey has supervised 40 Ph.D. students, and presented more than 200 professional talks in colloquia, seminars and conferences all over the world. During his career, Dey has been a visiting professor or scholar at many institutions or research centers around the world, such as Macquarie University, Pontificia Universidad Católica de Chile,, University of São Paulo, University of British Columbia, Statistical and Applied Mathematical Sciences Institute, etc. Dey is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, the International Society for Bayesian Analysis and the International Statistical Institute.
James E. Gentle is an American statistician and author. He was a professor of statistics at George Mason University until his retirement in 2016. He is Co-Editor-in-Chief of Wiley Interdisciplinary Reviews: Computational Statistics and Senior Editor of Communications in Statistics.
Joan B. Garfield is an American educational psychologist specializing in statistics education. She is retired from the University of Minnesota as a professor emeritus of educational psychology.
Galit Shmueli is a data scientist who works in Taiwan as Tsing Hua Distinguished Professor at the Institute of Service Science, National Tsing Hua University. She is the author of many textbooks in business statistics and is known for her work on information quality, and on clarifying the difference between explanations and predictions in statistical analyses.