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Bradley Efron

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Nationality
  
American

Role
  
Statistician

Institutions
  
Fields
  
Statistics

Known for
  
Bootstrap method

Name
  
Bradley Efron


Bradley Efron Bradley Efron Pictures Bush Presents National Medals Of

Born
  
May 24, 1938 (age 86) (
1938-05-24
)

Thesis
  
Problems in Probability of a Geometric Nature (1964)

Doctoral students
  
Norman BreslowRobert Tibshirani

Education
  
Stanford University (1964), Stanford University (1962), California Institute of Technology (1960)

Awards
  
R. A. Fisher Lectureship, MacArthur Fellowship

Doctoral advisor
  
Rupert G. Miller, Herbert Solomon

Books
  
An introduction to the boo, Large‑Scale Inference: Empirical, The science of Bradley E, The Jackknife - the Bootst

Notable students
  

Bradley efron frequentist accuracy of bayesian estimates


Bradley Efron (; born May 24, 1938) is an American statistician best known for proposing the bootstrap resampling technique, 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.

Contents

Bradley Efron statwebstanfordeduckirbybradimages2014Efro

The gibbs lecture interview with bradley efron


Life and career

Bradley Efron The Gibbs Lecture Interview with Bradley Efron YouTube

Efron was born in St. Paul, Minnesota in May 1938, the son of Russian Jewish immigrants Esther and Miles Efron. 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 Herb Solomon, in the Department of Statistics. While at Stanford, he was suspended for a year for his involvement with the Stanford Chaparral's parody of Playboy magazine.

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. He is the author of a classic monograph, The Jackknife, the Bootstrap and Other Resampling Plans (1982) and has also co-authored (with R. Tibshirani) the text An Introduction to the Bootstrap (1994).

He created a set of nontransitive dice called Efron's dice.

Awards

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, the Wilks Medal, the Parzen Prize, and the Rao Prize, Fisher, Rietz and Wald lecturer.

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). He was presented with the award on May 29, 2007.

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 or particle physics.

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. JSTOR 2335893. MR 0521817. doi:10.1093/biomet/65.3.457. 
  • Bradley Efron (1979). "Bootstrap Methods: Another Look at the Jackknife". The Annals of Statistics. 7 (1): 1–26. doi:10.1214/aos/1176344552. 
  • Efron, B. (1979). "Computer 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". Biometrika, 68, 589-599.
  • 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; Robert Tibshirani (1994). An Introduction to the Bootstrap. Chapman & Hall/CRC. ISBN 978-0-412-04231-7. 
  • Bradley Efron; Trevor Hastie (2016). Computer Age Statistical Inference. Cambridge University Press. ISBN 9781107149892. 
  • References

    Bradley Efron Wikipedia


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