Bayesian Analysis for the Social Sciences - 1. Ed. - Chichester : John Wiley and Sons 2009 - xxxiv, 564 pp. - Wiley Series in Probability and Statistics Balding, David J. (Ed.) Cressie, Noel A.C. (Ed.) Fitzmaurice, Garrett M. (Ed.) et al. .

from the Table of Contents: Preface; Acknowledgments; Introduction; Introducing Bayesian Analysis: The foundations of Bayesian inference; Getting started. Bayesian analysis for simple models; Simulation Based Bayesian Analysis: Monte Carlo methods; Markov chains; Markov chain Monte Carlo; Implementing Markov chain Monte Carlo; Advanced Applications in the Social Sciences: Hierarchical Statistical Models; Bayesian analysis of choice making; Bayesian approaches to measurement; Appendices: Working with vectors and matrices; Probability review; Proofs of selected propositions;

978-0-470-01154-6

Social sciences -- Statistical methods

Bayesian statistical decision theory

519 Probabilities and applied mathematics