ABSTRACT

Despite increasing interest in Bayesian approaches, especially across the social sciences, it has been virtually impossible to find a text that introduces Bayesian data analysis in a manner accessible to social science students. The Bayesian paradigm is ideally suited to the type of data analysis they will have to perform, but the associated mathem

chapter 1|30 pages

Background and Introduction

chapter 3|24 pages

The Bayesian Setup

chapter 4|24 pages

The Normal and Student's t Models

chapter 5|36 pages

The Bayesian Prior

chapter 6|50 pages

Assessing Model Quality

chapter 8|62 pages

Monte Carlo Methods

chapter 9|50 pages

Basics of Markov Chain Monte Carlo

chapter 10|38 pages

Bayesian Hierarchical Models

chapter 11|48 pages

Utilitarian Markov Chain Monte Carlo