Colonel William A. Phillips

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]

Life and career

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. By his own admission he "had no talent for modern abstract math". His interest in statistics emerged after reading a Harald Cramér book cover to cover.[6] Soon later, 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.[7][8]

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 intransitive dice called Efron's dice.[10][11][12] [13]

Awards

He has been given 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,[14] the Wilks Medal, the Parzen Prize, and the Rao Prize, Fisher, Rietz, and Wald lecturer.[15]

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 International Prize in Statistics at the 2019 World Statistics Congress.[18][19]

Selected publications

See also

References

  1. ^ Bradley Efron Curriculum Vitae Archived 2010-08-18 at the Wayback Machine
  2. ^ a b Cochran, J. (1 September 2015), "ASA Leaders Reminisce: Brad Efron", Amstat News.
  3. ^ Efron, B. (1979). "Bootstrap Methods: Another Look at the Jackknife". The Annals of Statistics. 7 (1): 1–26. doi:10.1214/aos/1176344552.
  4. ^ Efron, Bradley (2013). "A 250-year argument: Belief, behavior, and the bootstrap". Bull. Amer. Math. Soc. (N.S.). 50 (1): 129–146. doi:10.1090/s0273-0979-2012-01374-5.
  5. ^ "Efron to Speak on Baseball, Shakespeare, and Modern Statistical Theory". Joint Mathematics Meetings 2007. American Mathematical Society. 2007.
  6. ^ McClave, James T., and Terry Sincich. "Statistics, 1 1t h Edition." (2009).
  7. ^ "Guide to the Hammer and Coffin Society Records, 1906–1987". Online Archive of California.
  8. ^ Champkin Julian (2010). "Bradley Efron". Significance. 7 (4): 178–181. doi:10.1111/j.1740-9713.2010.00460.x. S2CID 247667658.
  9. ^ Bradley Efron (2010). Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction. Institute of Mathematical Statistics Monographs/Cambridge University Press. ISBN 9780521192491.
  10. ^ Weisstein, Eric W. "Efron's Dice". mathworld.wolfram.com. Retrieved 12 January 2021.
  11. ^ "Non-transitive Dice". www.cut-the-knot.org.
  12. ^ Savage, Richard P. (May 1994). "The Paradox of Nontransitive Dice". The American Mathematical Monthly. 101 (5): 429–436. doi:10.2307/2974903. JSTOR 2974903.
  13. ^ Rump, Christopher M. (June 2001). "Strategies for Rolling the Efron Dice". Mathematics Magazine. 74 (3): 212–216. doi:10.2307/2690722. JSTOR 2690722. Retrieved 12 January 2021.
  14. ^ Efron, Bradley (1978). "Controversies in the Foundations of Statistics". Amer. Math. Monthly. 85 (4): 231–246. doi:10.2307/2321163. JSTOR 2321163.
  15. ^ "Awards - Special Lectures Info, Institute of Mathematical Statistics". Archived from the original on 2015-02-21. Retrieved 2015-01-31.
  16. ^ National Science Foundation - The President's National Medal of Science
  17. ^ https://www.nsf.gov/od/nms/2005nmslaureates_pressrelease.pdf [bare URL PDF]
  18. ^ "International Prize in Statistics Awarded to Stanford's Bradley Efron". 2018-11-12.
  19. ^ "Keystone pipeline blocked, statistics prize and horse cull". Nature. 563 (7731): 298–299. 14 November 2018. Bibcode:2018Natur.563..298.. doi:10.1038/d41586-018-07349-2. PMID 30429573.

External links