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Bayesian Analysis for the Social Sciences

Simon Jackman

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John Wiley & Sons img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik


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.


(The American Statistician, 1 February 2011)
"This is a comprehensive text on applied Bayesianstatistics. Though it is primarily aimed at social scientists withstrong computational and statistical backgrounds, its scope shouldappeal to a wider readership. I recommend it to anybodyinterested in actually applying Bayesian methods." (Significance, 1 June 2010)"As in many texts, each chapter ends with a collection of exerciseswhich would make this text suitable for teaching a one-semestercourse in Bayesian methods with applications in the social sciences. . . with this small caveat, I was impressed with the text andbelieve it would be a worthy candidate for a first Bayesian coursesthat gives the student a balanced view of the theory and practiceof Bayesian thinking."
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