Larry Alan Wasserman | |
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| Born | 1959 (age 63–64) Windsor, Ontario, Canada |
| Alma mater | University of Toronto (Ph.D, 1988) |
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| Scientific career | |
| Fields | |
| Institutions | Carnegie Mellon University |
| Doctoral advisor | Robert Tibshirani |
| Website | www |
Larry Alan Wasserman (born 1959) is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.
Wasserman received his Ph.D. from the University of Toronto in 1988 under the supervision of Robert Tibshirani.
He received the COPSS Presidents' Award in 1999 [2] and the CRM-SSC Prize in 2002. [3]
He was elected a fellow of the American Statistical Association in 1996, [1] of the Institute of Mathematical Statistics in 2004, [4] and of the American Association for the Advancement of Science in 2011. [6] He was elected to National Academy of Sciences in May, 2016. [7]
Wasserman has written many research papers about nonparametric inference, asymptotic theory, causality, and applications of statistics to astrophysics, bioinformatics, and genetics. He has also written two advanced statistics textbooks, All of Statistics [8] and All of Nonparametric Statistics. [9]
Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions. Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Nonparametric statistics includes both descriptive statistics and statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are violated.
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley 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.
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.
Zoubin Ghahramani FRS is a British-Iranian researcher and Professor of Information Engineering at the University of Cambridge. He holds joint appointments at University College London and the Alan Turing Institute. and has been a Fellow of St John's College, Cambridge since 2009. He was Associate Research Professor at Carnegie Mellon University School of Computer Science from 2003–2012. He was also the Chief Scientist of Uber from 2016 until 2020. He joined Google Brain in 2020 as senior research director. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence.
Morris Herman DeGroot was an American statistician.
James Orvis Berger is an American statistician best known for his work on Bayesian statistics and decision theory. He won the COPSS Presidents' Award, one of the two highest awards in statistics, in 1985 at the age of 35. He received a Ph.D. in mathematics from Cornell University in 1974. He was a faculty member in the Department of Statistics at Purdue University until 1997, at which time he moved to the Institute of Statistics and Decision Sciences at Duke University, where he is currently the Arts and Sciences Professor of Statistics. He was also Director of the Statistical and Applied Mathematical Sciences Institute from 2002-2010, and has been a Visiting Professor at the University of Chicago since 2011.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Chien-Fu Jeff Wu is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is known for his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of experiments, and robust parameter design.
Clark N. Glymour is the Alumni University Professor Emeritus in the Department of Philosophy at Carnegie Mellon University. He is also a senior research scientist at the Florida Institute for Human and Machine Cognition.
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.
Xiao-Li Meng is a Chinese American statistician and the Whipple V. N. Jones Professor of Statistics at Harvard University. He received the COPSS Presidents' Award in 2001. He has written numerous research papers about Markov chain Monte Carlo algorithms and other statistical methodology.
Jun S. Liu is a Chinese-American statistician focusing on Bayesian statistical inference and computational biology. He received the COPSS Presidents' Award in 2002. Liu is a professor in the Department of Statistics at Harvard University and has written many research papers and a book about Markov chain Monte Carlo algorithms, including their applications in biology. He is also co-author of the Tmod software for sequence motif discovery.
Xihong Lin is a Chinese-American statistician known for her contributions to mixed models, nonparametric and semiparametric regression, and statistical genetics and genomics. As of 2015, she is the Henry Pickering Walcott Professor and Chair of the Department of Biostatistics at Harvard T.H. Chan School of Public Health and Coordinating Director of the Program in Quantitative Genomics.
Raymond James Carroll is an American statistician, and Distinguished Professor of statistics, nutrition and toxicology at Texas A&M University. He is a recipient of 1988 COPSS Presidents' Award and 2002 R. A. Fisher Lectureship. He has made fundamental contributions to measurement error model, nonparametric and semiparametric modeling.
Christian Genest is a professor in the Department of Mathematics and Statistics at McGill University, where he holds a Canada Research Chair. He is the author of numerous research papers in multivariate analysis, nonparametric statistics, extreme-value theory, and multiple-criteria decision analysis.
Alan E. 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.
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.
Robert E. Kass is the Maurice Falk Professor of Statistics and Computational Neuroscience in the Department of Statistics and Data Science, the Machine Learning Department, and the Neuroscience Institute at Carnegie Mellon University.
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