Bayesian Analysis for the Social Sciences

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John Wiley & Sons, Oct 27, 2009 - Mathematics - 598 pages
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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.

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About the author (2009)

Simon Jackman is a political scientist by trade but has a tremendous amount of experience in using Bayesian methods for solving problems in the social and political sciences, and teaching Bayesian methods to social science students.

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