Bayesian Analysis for the Social Sciences

Front Cover
John Wiley & Sons, Oct 27, 2009 - Mathematics - 598 pages
0 Reviews
Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

What people are saying - Write a review

We haven't found any reviews in the usual places.


Part I Introducing Bayesian Analysis
Part II Simulation Based Bayesian Analysis
Part III Advanced Applications in the Social Sciences
Part IV Appendices

Other editions - View all

Common terms and phrases

Bibliographic information