Bayesian Data Analysis
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Overview
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critiques statistical analysis from a Bayesian perspective. Changes in the new edition include: added material on how Bayesian methods are connected to other approaches, stronger focus on MCMC, added chapter on further computation topics, more examples, and additional chapters on current models for Bayesian data analysis such as equation models, generalized linear mixed models, and more. The book is an introductory text and a reference for working scientists throughout their professional life.
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Author Information
Bio of Andrew Gelman
Andrew Gelman is professor of statistics and political science at Columbia University. His books include Bayesian Data Analysis and Teaching Statistics: A Bag of Tricks. He received the Presidents' Award in 2003, awarded each year to the best statistician under forty.
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Additional Info
Imprint
Taylor & Francis
Filesize
9.10 MB
Number of Pages
696
eBook ISBN
9781102154174








