Bayesian Analysis for the Social Sciences

CONTENTS

Part I Introducing Bayesian Analysis
1 The foundations of Bayesian inference
2 Getting started: Bayesian analysis for simple models

Part II Simulation Based Bayesian Analysis
3 Monte Carlo methods
4 Markov chains
5 Markov chain Monte Carlo
6 Implementing Markov chain Monte Carlo

Part III Advanced Applications in the Social Sciences
7 Hierarchical Statistical Models
8 Bayesian analysis of choice making
9 Bayesian approaches to measurement

Part IV Appendices
AppendixA: Working with vectors and matrices
Appendix B: Probability review
Appendix C: Proofs of selected propositions