Bayesian Methods: A Social and Behavioral Sciences Approach / Edition 1

Bayesian Methods: A Social and Behavioral Sciences Approach / Edition 1

by Jeff Gill
     
 

This is the first book to provide a comprehensive but accessible introduction to Bayesian data analysis designed specifically for those in the social and behavioral sciences. Requiring few prerequisites, it first introduces Bayesian statistics and inference, then provides explicit guidance on assessing model quality and model fit, and finally introduces

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Overview

This is the first book to provide a comprehensive but accessible introduction to Bayesian data analysis designed specifically for those in the social and behavioral sciences. Requiring few prerequisites, it first introduces Bayesian statistics and inference, then provides explicit guidance on assessing model quality and model fit, and finally introduces hierarchical models within the Bayesian context, which leads naturally to Markov Chain Monte Carlo techniques and other numerical methods. The author emphasizes practical computing issues, includes specific details for Bayesian model building and testing, and uses the freely available R and BUGS software for examples and exercise problems.

Product Details

ISBN-13:
9781584882886
Publisher:
Taylor & Francis
Publication date:
05/29/2002
Series:
Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series
Edition description:
Older Edition
Pages:
480
Product dimensions:
6.40(w) x 9.60(h) x 1.18(d)

Meet the Author

Table of Contents

List of tables
List of figures
Preface
1Background and Introduction1
2Likelihood Inference and the Generalized Linear Model31
3The Bayesian Setup65
4The Normal and Student's t Models89
5The Bayesian Prior113
6Assessing Model Quality149
7Bayesian Hypothesis Testing and the Bayes Factor199
8Monte Carlo Methods239
9Basics of Markov Chain Monte Carlo301
10Bayesian Hierarchical Models351
11Utilitarian Markov Chain Monte Carlo389
Index437

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