<strong>Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis</strong><br /><br />Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. <strong>Bayesian Data Analysis, Third Edition</strong> continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors-all leaders in the statistics community-introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.<br /><br /><strong>New to the Third Edition</strong><br /><br /><br /><br />Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteri
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