Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (

chapter 1|14 pages

Approaches for statistical inference

chapter 2|90 pages

The Bayes approach

chapter 3|62 pages

Bayesian computation

chapter 4|58 pages

Model criticism and selection

chapter 5|44 pages

The empirical Bayes approach

chapter 6|42 pages

Bayesian design

chapter 7|62 pages

Special methods and models

chapter 8|46 pages

Case studies