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The following outline is provided as an overview of and topical guide to statistics:
In statistics, resampling is the creation of new samples based on one observed sample. Resampling methods are:
- Permutation tests
- Bootstrapping
- Cross validation
- Jackknife
Bradley Efron is an American statistician. Efron has been president of the American Statistical Association (2004) and of the Institute of Mathematical Statistics (1987–1988). He is a past editor of the Journal of the American Statistical Association, and he is the founding editor of the Annals of Applied Statistics. Efron is also the recipient of many awards.
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 Cai received 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.
Sourav Chatterjee is an Indian Bengali mathematician from West Bengal, specializing in mathematical statistics and probability theory. Chatterjee is credited with work on the study of fluctuations in random structures, concentration and super-concentration inequalities, Poisson and other non-normal limits, first-passage percolation, Stein's method and spin glasses. He has received a Sloan Fellowship in mathematics, Tweedie Award, Rollo Davidson Prize, Doeblin Prize, Loève Prize, and Infosys Prize in mathematical sciences. He was an invited speaker at the International Congress of Mathematicians in 2014.
Alison Mary Etheridge is Professor of Probability and former Head of the Department of Statistics, University of Oxford. Etheridge is a fellow of Magdalen College, Oxford.
Victor Chernozhukov is a Russian-American statistician and economist currently at Massachusetts Institute of Technology. His current research focuses on mathematical statistics and machine learning for causal structural models in high-dimensional environments. He graduated from the University of Illinois at Urbana-Champaign with a master's in statistics in 1997 and received his PhD in economics from Stanford University in 2000.
Huixia Judy Wang is a statistician who works as a professor of statistics at George Washington University. Topics in her research include quantile regression and the application of biostatistics to cancer.
Sofia Charlotta Olhede is a British-Swedish mathematical statistician known for her research on wavelets, graphons, and high-dimensional statistics and for her columns on algorithmic bias. She is a professor of statistical science at the EPFL.
Liming Peng is a Chinese biostatistician who works as a professor of biostatistics and bioinformatics at the Rollins School of Public Health, Emory University, where she is also affiliated with the Winship Cancer Institute. The topics of her statistical research include survival analysis, quantile regression, and nonparametric statistics; she applies these methods to the study of chronic diseases including diabetes and cystic fibrosis.
John D. Storey is the William R. Harman '63 and Mary-Love Harman Professor in Genomics at Princeton University. His research is focused on statistical inference of high-dimensional data, particularly genomic data. Storey was the founding director of the Princeton University Center for Statistics and Machine Learning.
Mercedes Pascual is an Uruguayan theoretical ecologist, and a Professor in the Department of Ecology and Evolution at the University of Chicago, where she leads the Laboratory for Modeling and Theory in Ecology and Epidemiology (MATE). She was previously the Rosemary Grant Collegiate Professor at the University of Michigan and a Howard Hughes Medical Institute Investigator.
Yingying Fan is a Chinese-American statistician and Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department of the Marshall School of Business at the University of Southern California. She is currently the Associate Dean for the PhD Program at USC Marshall. She also holds joint appointments at the USC Dana and David Dornsife College of Letters, Arts and Sciences, and Keck Medicine of USC. Her contributions to statistics and data science were recognized by the Royal Statistical Society Guy Medal in Bronze in 2017 and the Institute of Mathematical Statistics Medallion Lecture in 2023. She was elected Fellow of American Statistical Association in 2019 and Fellow of Institute of Mathematical Statistics for seminal contributions to high-dimensional inference, variable selection, classification, networks, and nonparametric methodology, particularly in the field of financial econometrics, and for conscientious professional service in 2020.
In statistics, the knockoff filter, or simply knockoffs, is a framework for variable selection. It was originally introduced for linear regression by Rina Barber and Emmanuel Candès, and later generalized to other regression models in the random design setting. Knockoffs has found application in many practical areas, notably in genome-wide association studies.
Miriam (Miki) Gasko Donoho is an American statistician whose research topics have included data visualization,[A] equivalences between binary regression and survival analysis,[B] and robust regression.[C]
Rui Song is a Chinese-American statistician. Her research interests include machine learning, causal inference, and independence screening for variable selection, with applications to precision medicine and economics. She works for Amazon as a senior principal scientist.
Heather Battey is a British statistician whose interests include population-level sparsity and the theoretical foundations of inference in the presence of a large number of nuisance parameters. She is a reader in mathematics at Imperial College London.
Lester Mackey is an American computer scientist and statistician. He is a principal researcher at Microsoft Research and an adjunct professor at Stanford University. Mackey develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. He was named a 2023 MacArthur Fellow.
Veronika Ročková is a Bayesian statistician. Born in Czechoslovakia, and educated in the Czech Republic, Belgium, and the Netherlands, she works in the US as a professor of econometrics and statistics and James S. Kemper Faculty Scholar at the University of Chicago. Her research studies methods including variable selection, high-dimensional inference, non-convex optimization, likelihood-free inference, and the spike-and-slab LASSO, and also includes applications in biomedical statistics.
References
- 1 2 3 "Rina Foygel Barber". www.macfound.org. Retrieved 2023-10-10.
- ↑ "UChicago statistician Rina Foygel Barber awarded MacArthur Fellowship | University of Chicago News". news.uchicago.edu. 2023-10-04. Retrieved 2023-10-10.
- ↑ Cha, Phyllis (2023-10-04). "University of Chicago statistics professor awarded MacArthur Foundation 'genius grant'". Chicago Sun-Times. Retrieved 2023-10-16.
- ↑ Rina Foygel Barber at the Mathematics Genealogy Project
- 1 2 "2017 Tweedie Award winner", IMS Bulletin, Institute of Mathematical Statistics, April 1, 2017
- ↑ Past Fellows, Sloan Foundation, archived from the original on 2018-03-14, retrieved 2019-09-10
- ↑ 2023 IMS Fellows Announced, Institute of Mathematical Statistics, retrieved 2023-09-22
- ↑ "Rina Foygel Barber".
