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Bradley Efron
Born
(1938-05-24) May 24, 1938 (age 83)
Nationality
American
Alma mater
California Institute of Technology, Stanford University
Known for
Bootstrap method
Awards
National Medal of Science (2005) BBVA Foundation Frontiers of Knowledge Award (2016) International Prize in Statistics (2019)
Scientific career
Fields
Statistics
Institutions
Stanford University
Thesis
Problems in Probability of a Geometric Nature(1964)
Bradley Efron (/ˈɛfrən/; born May 24, 1938)[1] is an American statistician. Efron has been president of the American Statistical Association (2004) and of the Institute of Mathematical Statistics (1987–1988).[2] He is a past editor (for theory and methods) of the Journal of the American Statistical Association, and he is the founding editor of the Annals of Applied Statistics.[2] Efron is also the recipient of many awards (see below).
Efron is especially known for proposing the bootstrap resampling technique,[3] which has had a major impact in the field of statistics and virtually every area of statistical application. The bootstrap was one of the first computer-intensive statistical techniques, replacing traditional algebraic derivations with data-based computer simulations.[4]
Efron was born in St. Paul, Minnesota in May 1938, the son of Russian Jewish immigrants Esther and Miles Efron.[5] He attended the California Institute of Technology, graduating in Mathematics in 1960. He arrived at Stanford in fall of 1960, earning his Ph.D., under the direction of Rupert Miller and Herbert Solomon, in the Department of Statistics. While at Stanford, he was suspended for six months for his involvement with the Stanford Chaparral's parody of Playboy magazine.[6][7]
He is currently a Professor of Statistics and Biostatistics at Stanford. At Stanford he has been the Chair of the Department of Statistics, Associate Dean of the School of Humanities and Sciences, Chairman of the University Advisory Board, Chair of the Faculty Senate, and Co-director of the undergraduate-level Mathematical & Computational Science Program.
Efron holds the Max H. Stein endowed chair as Professor of Humanities and Sciences at Stanford.
He has made many important contributions to many areas of statistics. Efron's work has spanned both theoretical and applied topics, including empirical Bayes analysis (with Carl Morris), applications of differential geometry to statistical inference, the analysis of survival data, and inference for microarray gene expression data.[8] He is the author of a classic monograph, The Jackknife, the Bootstrap and Other Resampling Plans (1982) and has also co-authored (with Robert Tibshirani) the text An Introduction to the Bootstrap (1994).
He has won many honors, including a MacArthur Prize Fellowship, membership in the National Academy of Sciences and the American Academy of Arts and Sciences, fellowship in the Institute of Mathematical Statistics (IMS) and the American Statistical Association (ASA), the Lester R. Ford Award,[13] the Wilks Medal, the Parzen Prize, and the Rao Prize, Fisher, Rietz, and Wald lecturer.[14]
In 2005, he was awarded the National Medal of Science, the highest scientific honor by the United States, for his exceptional work in the field of Statistics (especially for his inventing of the bootstrapping methodology).[15] He was presented with the award on May 29, 2007.[16]
He has won the BBVA Foundation Frontiers of Knowledge Award in the Basic Sciences category jointly with David Cox, for the development of “pioneering and hugely influential” statistical methods that have proved indispensable for obtaining reliable results in a vast spectrum of disciplines from medicine to astrophysics, genomics, and particle physics.
He received the International Prize in Statistics at the 2019 World Statistics Congress.[17][18]
Selected publications[]
Efron, B.; Hinkley, D.V. (1978). "Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher Information". Biometrika. 65 (3): 457–487. doi:10.1093/biomet/65.3.457. JSTOR2335893. MR0521817.
Efron B (1981). "Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods". Biometrika. 68 (3): 589–599. doi:10.1093/biomet/68.3.589.
^Bradley Efron (2010). Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction. Institute of Mathematical Statistics Monographs/Cambridge University Press. ISBN9780521192491.
^Weisstein, Eric W. "Efron's Dice". mathworld.wolfram.com. Retrieved 12 January 2021.