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Há 1 dia · The bootstrap was published by Bradley Efron in "Bootstrap methods: another look at the jackknife" (1979), inspired by earlier work on the jackknife. Improved estimates of the variance were developed later. A Bayesian extension was developed in 1981.
11 de mai. de 2024 · The first article is “Machine learning and the James–Stein estimator” by Bradley Efron. The seminal work of James and Stein on estimating a multivariate normal mean vector made a spectacular first impression on the statistical community through its demonstration of inadmissibility of the maximum likelihood estimator.
30 de abr. de 2024 · by Yoav Benjamini, Richard De Veaux, Bradley Efron, Scott Evans, Mark Glickman, Barry I. Graubard, Xuming He, Xiao-Li Meng, and 7 more Published: Jul 30, 2021 Remembering Robert Lue: Giving Students “Not a Data Science Course, but a Data Science Life”
11 de mai. de 2024 · Stein’s identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit. Tatsuya Kubokawa. Original Paper. Open Access. Published: 31 January 2024.
13 de mai. de 2024 · The Iron Claw, starring Zac Efron, Jeremy Allen White, and Harris Dickinson, dramatizes the already traumatizing saga of the Von Erich family, one of the most celebrated wrestling dynasties in...
28 de abr. de 2024 · Journal of the American Statistical Association, Theory and Methods, 117 (539), 1149-1166. Selected as a discussion paper by the editors of JASA. The discussion took place at JSM 2022. Discussants: Noel Cressie, Subhashis Ghosal, Peter Hoff, Bradley Efron, Guido Imbens, Marianna Pensky, Dongyue Xie & Matthew Stephens.
29 de abr. de 2024 · Abstract. This is a writeup, with some elaboration, of the talks by the two authors (a physicist and a statistician) at the first PHYSTAT Informal review on January 24, 2024. We discuss Bayesian and frequentist approaches to dealing with nuisance parameters, in particular, integrated versus profiled likelihood methods.
