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.
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.
Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and financeEmphasizing interdisciplinary coverage,...
Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to...
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