Bayesian Methods for Data Analysis, Third Edition
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 (MCMC) methods and related data analytic techniques.
New to the Third Edition
Ideal for Anyone Performing Statistical Analyses
Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.
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CHAPTER 2 The Bayes approach
CHAPTER 3 Bayesian computation
CHAPTER 4 Model criticism and selection
CHAPTER 5 The empirical Bayes approach
CHAPTER 6 Bayesian design
CHAPTER 7 Special methods and models