Brad Efron's Other Work
A Work of Art: Efron on Bayesian Inference
by Joseph Rickert on Revolutions, a blog from the staff of Revolution Analytics.
A Life in Statistics: Bradley Efron
by Julian Champkin for the Royal Statistical Society's
Bayes and Business Intelligence, Part 3: An Interview with Brad Efron of Stanford
by Steve Miller for BeyeNETWORK.
Bradley Efron: A Conversation with Good Friends
An Interview with Bradley Efron
, for McGraw-Hill's Business Statistics Center.
The Art of Learning from Experience
(with G. Kolata).
A Two-Hundred-and-Fifty-Year Argument
, written for the 30th Leeds Annual Statistical Research Workshop, University of Leeds, UK.
Encyclopedia of Statistics
The Future of Statistics
False discovery rates and the James-Stein estimator
The bootstrap and modern statistics
R. A. Fisher in the 21st century
Computer-intensive statistical methods
Encyclopedia of Statistical Sciences
, Wiley-Interscience, NY.
Statistical data analysis in the computer age
Did Shakespeare write a newly discovered poem?
Why isn't everyone a Bayesian?
A leisurely look at the bootstrap, the jackknife, and cross-validation
(with G. Gong).
Controversies in the foundations of statistics
Amer. Math. Mon.
Stein's paradox in statistics
Estimating the number of unseen species: How many words did Shakespeare know?
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
, IMS Monographs.
The Science of Bradley Efron: Selected Papers
, edited by C. Morris and R. Tibshirani.
The Statistical Century. In
Stochastic Musings: Perspectives from the Pioneers of the Late 20th Century
, edited by John Panaretos.
An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)
Six Questions Raised by the Bootstrap. In
Exploring the Limits of Bootstrap
, edited by R. LePage and L. Billard.
The Jackknife, the Bootstrap, and Other Resampling Plans
, with R. G. Miller, Jr., B. Wm. Brown, Jr. and L. Moses. (out of print)
The Annals of Applied Statistics
Theory and Methods Editor,
Journal of the American Statistical Association
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