TY  - BOOK
AU  - Gelman,Andrew
TI  - Bayesian data analysis
SN  - 9781584883883 :
AV  - QA279.5 .B386 2004
PY  - 2004///
CY  - Boca Raton, Fla.
PB  - Chapman & Hall/CRC
KW  - Bayesian statistical decision theory
N1  - Includes bibliographical references (p. 611-646) and indexes; Part I: Fundamentals of Bayesian inference -- Background -- Single-parameter models -- Introduction to multiparameter models -- Large-sample inference and frequency properties of Bayesian inference -- Part II: Fundamentals of Bayesian data analysis -- Hierarchical models -- Model checking and improvement -- Modeling accounting for data collection -- Connections and challenges -- General advice -- Part III: Advanced computation -- Overview of computation -- Posterior simulation -- Approximations based on posterior modes -- Special topics in computation -- Part IV: Regression models -- Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Part V: Specific models and problems -- Mixture models -- Multivariate models -- Nonlinear models -- Models for missing data -- Decision analysis -- Appendixes. Standard probability distributions -- Outline of proofs of asymptotic theorems -- Example of computation in R and Bugs.
ER  -