Skip to content

Large-Scale Inference Empirical Bayes Methods for Estimation, Testing, and Prediction

Spend $50 to get a free DVD!

ISBN-10: 110761967X

ISBN-13: 9781107619678

Edition: 2012

Authors: Bradley Efron

List price: $75.95
Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
Buy eBooks
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. 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. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.
Customers also bought

Book details

List price: $75.95
Copyright year: 2012
Publisher: Cambridge University Press
Publication date: 11/29/2012
Binding: Paperback
Pages: 276
Size: 6.00" wide x 9.25" long x 0.50" tall
Weight: 0.946
Language: English

Bradley Efron is Max H. Stein Professor of Statistics and Biostatistics at the Stanford University School of Humanities and Sciences, and the Department of Health Research and Policy with the School of Medicine.

Theoretical, permutation and empirical null distr
Correlation questions