Bradley Efron
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Bradley Efron | |
---|---|
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) |
Doctoral advisor | Rupert G. Miller Herbert Solomon[citation needed] |
Doctoral students | Norman Breslow Robert Tibshirani Samuel Kou James H. Ware |
Bradley Efron (
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]
Life and career
Efron was born in
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.[9] 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 created a set of
[13]Awards
He has been given many honors, including a
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).[16] He was presented with the award on May 29, 2007.[17]
In 2014, he was awarded the Guy Medal in Gold.
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
Selected publications
- Efron, B.; MR 0521817.
- Bradley Efron (1979). "Bootstrap Methods: Another Look at the Jackknife". .
- Efron, B. (1979). "Computers and the theory of statistics: thinking the unthinkable". SIAM Review.
- Efron B (1981). "Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods". .
- Efron, B. (1982). "The jackknife, the bootstrap, and other resampling plans". Society of Industrial and Applied Mathematics CBMS-NSF Monographs, 38.
- Diaconis, P. & Efron, B. (1983). "Computer-intensive methods in statistics". Scientific American, May, 116–130.
- Efron, B. (1983). "Estimating the error rate of a prediction rule: improvement on cross-validation". Journal of the American Statistical Association
- Efron, B. (1985). "Bootstrap confidence intervals for a class of parametric problems." Biometrika.
- Efron, B. (1987). "Better bootstrap confidence intervals". Journal of the American Statistical Association
- Efron, B. (1990). "More efficient bootstrap computations". Journal of the American Statistical Association
- Efron, B. (1991). "Regression percentiles using asymmetric squared error loss". Statistica sinica.
- Efron, B. (1992). "Jackknife-after-bootstrap standards errors and influence functions". in Journal of the Royal Statistical Society
- Efron, B., & Tibshirani, R. J. (1993). "An introduction to the bootstrap". New York: Chapman & Hall, software.
- Bradley Efron; ISBN 978-0-412-04231-7.
- Bradley Efron; ISBN 9781107149892.
See also
- Clinical trials
- Empirical Bayesian
- Fisher, Ronald
- Least-angle regression
- Fisher information
- Hinkley, David V.
- Likelihood function
- Observed information
- Robbins, Herbert
- Sequential analysis
- Stein, Charles
References
- ^ Bradley Efron Curriculum Vitae Archived 2010-08-18 at the Wayback Machine
- ^ a b Cochran, J. (1 September 2015), "ASA Leaders Reminisce: Brad Efron", Amstat News.
- .
- .
- ^ "Efron to Speak on Baseball, Shakespeare, and Modern Statistical Theory". Joint Mathematics Meetings 2007. American Mathematical Society. 2007.
- ^ McClave, James T., and Terry Sincich. "Statistics, 1 1t h Edition." (2009).
- ^ "Guide to the Hammer and Coffin Society Records, 1906–1987". Online Archive of California.
- S2CID 247667658.
- ISBN 9780521192491.
- ^ Weisstein, Eric W. "Efron's Dice". mathworld.wolfram.com. Retrieved 12 January 2021.
- ^ "Non-transitive Dice". www.cut-the-knot.org.
- JSTOR 2974903.
- JSTOR 2690722. Retrieved 12 January 2021.
- JSTOR 2321163.
- ^ "Awards - Special Lectures Info, Institute of Mathematical Statistics". Archived from the original on 2015-02-21. Retrieved 2015-01-31.
- ^ National Science Foundation - The President's National Medal of Science
- ^ https://www.nsf.gov/od/nms/2005nmslaureates_pressrelease.pdf [bare URL PDF]
- ^ "International Prize in Statistics Awarded to Stanford's Bradley Efron". 2018-11-12.
- PMID 30429573.