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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]
Professor Emeritus of Biomedical Data Science. I like working on applied and theoretical problems at the same time and one thing nice about statistics is that you can be useful in a wide variety of areas. So my current applications include biostatistics and also astrophysical applications.
Articles 1–20. Professor of statistics, Stanford University - Cited by 193,725 - statistics - biostatistics - astrostatistics.
Brad is Max H. Stein Professor of Humanities and Sciences, Professor of Statistics, and Professor of Biostatistics with the Department of Biomedical Data Science in the School of Medicine; he serves as Co-director of the Mathematical and Computational Sciences Program.
Brad Efron has been at Stanford for more than 50 years and has represented the Statistics Department, as well as leading the Mathematical and Computational Science program, for the past 30.
Professor Efron is renowned internationally for his pioneering work in computationally intensive statistical methods that substitute computer power for mathematical formulas, particularly the bootstrap method.
Bradley Efron. Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science, Emeritus. NIH Biosketch available Online. Curriculum Vitae available Online. CONTACT INFORMATION. • Alternate Contact. Cindy Kirby - Administrative Associate. Email ckirby@stanford.edu. Tel (650) 725-2229. Bio. BIO.
BRADLEY EFRON. Professor Emeritus of Statistics and of Biomedical Data Science. University Address. Department of Statistics. Born: May 24, 1938, St. Paul, Minnesota 390 Jane Stanford Way Stanford University Stanford, CA 94305-4065 Citizenship: U.S. Citizen Phone: (650) 723-2206 Fax: (650) 725-8977 Email: brad@stat.stanford.edu. Education.
Nov 12, 2018 · Bradley Efron. The International Statistical Institute in partnership with ASA, IBS, IMS, and RSS in the International Prize in Statistics Foundation have selected Efron as the second winner of this distinction–the equivalent of the Nobel Prize in the field of statistics.
Bradley Efron is Professor of Statistics and Biostatistics at Stanford University. He works on a combination of theoretical and applied topics, including empirical Bayes, survival analysis, exponential families, bootstrap and jackknife methods and confidence intervals.
