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Bayesian Methods: A Social and Behavioral Sciences Approach

Bayesian Methods: A Social and Behavioral Sciences Approach

Bayesian Methods: A Social and Behavioral Sciences Approach
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Bayesian Methods: A Social and Behavioral Sciences Approach Hardback - 2014

by Gill, Jeff

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Chapman & Hall, 2014. Hardcover. New. 3rd edition. 680 pages. 10.25x7.25x1.75 inches.
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Details

  • Title Bayesian Methods: A Social and Behavioral Sciences Approach
  • Author Gill, Jeff
  • Binding Hardback
  • Edition Us Edition
  • Condition New
  • Pages 722
  • Volumes 1
  • Language ENG
  • Publisher Chapman & Hall
  • Publication date 2014
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # x-1439862486
  • ISBN 9781439862483 / 1439862486
  • Weight 3.21 lbs (1.46 kg)
  • Dimensions 10 x 7 x 1.6 in (25.40 x 17.78 x 4.06 cm)
  • Category Mathematics
  • Library of Congress subjects Bayesian statistical decision theory, Social sciences - Statistical methods
  • Library of Congress Catalogue Number 2015001603
  • Dewey Decimal Code 519.542
  • Quantity available 2

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From the publisher

An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists

Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.

New to the Third Edition

  • A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimation
  • A chapter on the practical implementation of MCMC methods using the BUGS software
  • Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm
  • Many new applications from a variety of social science disciplines
  • Double the number of exercises, with 20 now in each chapter
  • Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R

This 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.

About the author

Jeff Gill 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.

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