Bayesian Analysis for the Social Sciences
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A01=Simon Jackman
accessible
Author_Simon Jackman
bayesian
book
Category=PBT
eq_isMigrated=1
eq_nobargain
examination
first
foundations
inference
inferential problems
modern
monte
part
proportions
review
science
sciences
settings
simple
social
statistical inference
treatment
Product details
- ISBN 9780470011546
- Weight: 1162g
- Dimensions: 176 x 252mm
- Publication Date: 23 Oct 2009
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
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.
