Bayesian Methods for Data Analysis (Hardcover, 3)

Approaches for statistical inference
Introduction
Motivating Vignettes
Defining the Approaches
The Bayes-Frequentist Controversy
Some Basic Bayesian Models
The Bayes approach
Introduction
Prior Distributions
Bayesian Inference
Hierarchical Modeling
Model Assessment
Nonparametric Methods
Bayesian computation
Introduction
Asymptotic Methods
Noniterative Monte Carlo Methods
Markov Chain Monte Carlo Methods
Model criticism and selection
Bayesian Modeling
Bayesian Robustness
Model Assessment
Bayes Factors via Marginal Density Estimation
Bayes Factors via Sampling over the Model Space
Other Model Selection Methods
The empirical Bayes approach
Introduction
Parametric EB Point Estimation
Nonparametric EB Point Estimation
Interval Estimation
Bayesian Processing and Performance
Frequentist Performance
Empirical Bayes Performance
Bayesian design
Principles of Design
Bayesian Clinical Trial Design
Applications in Drug and Medical Device Trials
Special methods and models
Estimating Histograms and Ranks
Order Restricted Inference
Longitudinal Data Models
Continuous and Categorical Time Series
Survival Analysis and Frailty Models
Sequential Analysis
Spatial and Spatio-Temporal Models
Case studies
Analysis of Longitudinal AIDS Data
Robust Analysis of Clinical Trials
Modeling of Infectious Diseases
Appendices
Distributional Catalog
Decision Theory
Answers to Selected Exercises
References
Author Index
Subject Index
Index
Exercises appear at the end of each chapter.