Bayesian Analysis for the Social Sciences

Bayesian Analysis for the Social Sciences

Author(s): Simon Jackman

Published Online: 26 OCT 2009

Print ISBN: 9780470011546

Online ISBN: 9780470686621

DOI: 10.1002/9780470686621

Series Editor(s): Walter A. Shewhart, Samuel S. Wilks

About this Book

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.

Table of contents

    1. You have free access to this content
  1. Part I: Introducing Bayesian Analysis

  2. Part II: Simulation Based Bayesian Analysis

    1. You have free access to this content
  3. Part III: Advanced Applications in the Social Sciences

  4. Part IV: Appendices

    1. You have free access to this content
    2. You have free access to this content
    3. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content

SEARCH