Bayesian Methods for Data Analysis

摘要

This is the third edition of a book that was originally aimed at advanced students of statistics. The authors widened the scope of the book in the second edition, and this has been widened further in this edition. Although it still shows signs of its more academic origins, the book contains some useful advice for practitioners. All the essential topics are covered: statistical inference, Bayesian computation, model criticism and selection, as well as Bayesian design. The authors argue that the Bayesian approach is to be recommended even if judged by the frequen-tist properties of posterior parameter estimates.