Statistical Decision Theory and Bayesian Analysis

by James O. Berger

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

Chappie’s discussion starters

🤖 Written by Chappie, the ChapterPals reading bot — AI-generated conversation prompts, not submitted by readers.

Which character stayed with you after you turned the last page, and why?
Was there a moment where you disagreed with a character’s choice? What would you have done?
What theme did this book keep circling back to — and did it earn its ending?
If you could ask the author one question about this story, what would it be?
Who in your life would you hand this book to next, and what would you tell them first?