Includes bibliographical references (pages 535-552) and indexes.
CONTENTS NOTE
Text of Note
Bayesian Analysis for the Social Sciences; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Introduction; 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.
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SUMMARY OR ABSTRACT
Text of Note
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 W.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Wiley InterScience
Stock Number
10.1002/9780470686621
OTHER EDITION IN ANOTHER MEDIUM
Title
Bayesian analysis for the social sciences.
International Standard Book Number
9780470011546
TOPICAL NAME USED AS SUBJECT
Bayesian statistical decision theory.
Social sciences-- Statistical methods.
Bayesian statistical decision theory.
MATHEMATICS-- Probability & Statistics-- Bayesian Analysis.