{"product_id":"bayesian-methods-a-social-and-behavioral-sciences-approach-third-edition-9781439862483","title":"Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition","description":"\u003cp\u003e\u003cem\u003eAn Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, \u003cstrong\u003eBayesian Methods: A Social and Behavioral Sciences Approach, Third Edition\u003c\/strong\u003e focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eNew to the Third Edition\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eA chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimation\u003c\/li\u003e \u003cli\u003eA chapter on the practical implementation of MCMC methods using the BUGS software\u003c\/li\u003e \u003cli\u003eGreatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm\u003c\/li\u003e \u003cli\u003eMany new applications from a variety of social science disciplines \u003c\/li\u003e \u003cli\u003eDouble the number of exercises, with 20 now in each chapter \u003c\/li\u003e \u003cli\u003eUpdated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eJeff Gill\u003c\/strong\u003e is a professor in the Department of Political Science, the Division of Biostatistics, and the Department of Surgery (Public Health Sciences) at Washington University. He is the author of several books and has published numerous research articles. His research applies Bayesian modeling and data analysis to questions in general social science quantitative methodology, political behavior and institutions, and medical\/health data analysis using computationally intensive tools. He received his B.A. from UCLA, MBA from Georgetown University, Ph.D. from American University, and Post-Doctorate from Harvard University.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50337141391634,"sku":"9781439862483","price":109.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_fa0e93e3-3aaf-41b6-b948-9e4a671c33dd.jpg?v=1727954554","url":"https:\/\/surprise-castle.myshopify.com\/products\/bayesian-methods-a-social-and-behavioral-sciences-approach-third-edition-9781439862483","provider":"Surprise Castle","version":"1.0","type":"link"}