TY  - BOOK
AU  - Gill,Jeff
TI  - Bayesian methods: a social and behavioral sciences approach 
T2  - Statistics in the social and behavioral sciences series
SN  - 9781439862483 (hardcover : alk. paper)
U1  - 000SA.161 23
PY  - 2015///
CY  - Boca Raton :     
PB  - CRC Press
KW  - Bayesian statistical decision theory
KW  - Social sciences
KW  - Statistical methods
N1  - Includes bibliographical references and index; 1. Background and introduction--
2. Specifying Bayesian models--
3. The normal and student's-t models--
4. The Bayesian prior--
5. The Bayesian linear model--
6. Assessing model quality--
7. Bayesian hypothesis testing and the Bayes factor--
8. Bayesian decision theory--
9. Monte Carlo and related iterative methods--
10. Basic of Markov Chain Monte Carlo--
11. Implementing Bayesian models with Markov Chain Monte Carlo--
12. Bayesian Hierarchical Models--
13. Some Markov chain Monte Carlo theory--
14. Utilitarian Markov Chain Monte Carlo--
15. Markov Chain Monte Carlo extensions--
Appendix A. Generalized linear model review--
Appendix B. common probability distributions--
References--
Author index--
Subject index
N2  - Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach
ER  -