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Bayesian Statistical Modelling [2006]

1
Introduction: The Bayesian Method, its Benefits and Implementation
25
Bayesian Model Choice, Comparison and Checking
63
The Major Densities and their Application
109
Normal Linear Regression, General Linear Models and Log‐Linear Models
151
Hierarchical Priors for Pooling Strength and Overdispersed Regression Modelling
187
Discrete Mixture Priors
219
Multinomial and Ordinal Regression Models
241
Time Series Models
297
Modelling Spatial Dependencies
333
Nonlinear and Nonparametric Regression
367
Multilevel and Panel Data Models
425
Latent Variable and Structural Equation Models for Multivariate Data
457
Survival and Event History Analysis
493
Missing Data Models
533
Measurement Error, Seemingly Unrelated Regressions, and Simultaneous Equations
561
Appendix 1: A Brief Guide to Using WINBUGS
565
Index
574
Wiley Series in Probability and Statistics
i
Front Matter
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