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15 de mai. de 1994 · An Introduction to the Bootstrap arms scientists and engineers as well as statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance ...
Department of Biomedical Data Science 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305-5464 Fax: (650) 497-1990 Email: dbds-operations@stanford.edu
Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power.
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. Most of his applied work has originated in biomedical consulting projects at the Stanford Medical School, mixed in with a few ...
Bradley Efron (24 de mayo de, 1938) 1 es un estadístico estadounidense más conocido por proponer la técnica de remuestreo Bootstrapping (estadística), 2 que ha tenido un impacto importante en el campo de la estadística y prácticamente en todos los ámbitos de su aplicación. El bootstrap fue una de las primeras técnicas estadísticas de ...
3 de abr. de 2008 · The Science of Bradley Efron: Selected Papers. Carl N. Morris, Robert Tibshirani. Springer New York, Apr 3, 2008 - Mathematics - 499 pages.
BIO. Bradley Efron (Minnesota, United States; 1938) is Professor of Statistics and Biomedical Data Science at Stanford University. He studied mathematics at California Institute of Technology (Caltech) before completing an MS in statistics at Stanford University in 1962. That same year, he began his doctoral studies in statistics under the ...
