ABSTRACT

The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorpora

chapter 1|38 pages

Background and Introduction

chapter 2|34 pages

Specifying Bayesian Models

chapter 3|32 pages

The Normal and Student’s-t Models

chapter 4|30 pages

The Bayesian Linear Model

chapter 5|56 pages

The Bayesian Prior

chapter 6|38 pages

Assessing Model Quality

chapter 8|68 pages

Monte Carlo and Related Methods

chapter 9|52 pages

Basics of Markov Chain Monte Carlo

chapter 10|38 pages

Bayesian Hierarchical Models

chapter 11|26 pages

Some Markov Chain Monte Carlo Theory

chapter 12|52 pages

Utilitarian Markov Chain Monte Carlo

chapter 13|24 pages

Advanced Markov Chain Monte Carlo