Bradley Efron

Bradley Efron ( born May 24, 1938 in St. Paul, Minnesota) is an American statistician. He is a professor at Stanford University and is the author of the bootstrap method.

Biography

Efron graduated with a scholarship at Caltech, where he graduated in 1960. In the same year he went to Stanford, where he received his doctorate in 1964 at Rupert Miller and Herb Solomon ( problem in probability of geometric nature ). After that he remained of visiting professorships, for example, in Berkeley, Imperial College London and Harvard University apart, at Stanford.

The 1979 found by Efron bootstrap method allows to estimate the variability of a non-parametric test statistic. This method is closely related to the so-called Jack - Knife method and is often used when no valid analytical approximation ( such as a confidence interval for normal distribution assumption based ) is possible. Other pioneering contributions of Efron deal with the empirical Bayes method (one inference, both frequentist and Bayesian trains has ), with hochdimensionalem multiple testing using the " False Discovery Rate ", with variable selection and model choice, and with geometric aspects of statistical inference.

In July 2007, Bradley Efron was awarded the National Medal of Science, the highest scientific honor in the United States for his contributions to theoretical and applied statistics, and in particular for the bootstrap method. He is a member of the National Academy of Sciences, the American Academy of Arts and Sciences and the American Statistical Association. The universities of Madrid, Chicago and Oslo awarded him an honorary doctorate. He is also McArthur Fellow and was president of the Institute of Mathematical Statistics (IMS).

Awards

  • National Medal of Science,
  • Wilks Medal,
  • Parzen price,
  • Rao Prize.
  • MacArthur Fellowship in 1983

Writings

  • The jackknife, the bootstrap, and other resampling plans. Society of Industrial and Applied Mathematics CBMS - NSF Monographs, Volume 38, 1982.
  • Estimating the error rate of a prediction rule: improvement on cross-validation. J. Amer. Statist. Assoc., 1983.
  • Jackknife -after -bootstrap standards errors and influence functions. In: Journal of the Royal Statistical Society. In 1992.
  • With R. J. Tibshirani: An introduction to the bootstrap. Chapman & Hall, New York 1993.
Saint Paul (Minnesota) Wilks Memorial Award C. R. Rao Integrated Authority File
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