Bayesian inference in the social sciences /

"Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. Particular emphasis is placed on an interdisciplinary coverage, model checking, and modern computational tools suc...

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Bibliographic Details
Other Authors: Jeliazkov, Ivan, 1973- (Editor), Yang, Xin-She (Editor)
Format: Electronic eBook
Language:English
Published: Hoboken, New Jersey : Wiley, [2014]
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
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Summary:"Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. Particular emphasis is placed on an interdisciplinary coverage, model checking, and modern computational tools such as Markov chain Monte Carlo.The book's broad interdisciplinary coverage provides exposure to recent and trending developments in a diverse, yet closely integrated, set of research topics in the social sciences. This approach facilitates the transmission of new ideas, developments, and methodology from one discipline to another, while at the same time maintaining manageability, coherence, and a clear focus"--
Physical Description:1 online resource (352 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781118771181 (e-book)