<P><STRONG>Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis</STRONG></P><P>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.</P><P><STRONG>New to the Third Edition</STRONG></P><UL><P><LI>Four new chapters on nonparametric modeling</LI><LI>Coverage of weakly informative priors and boundary-avoiding priors</LI><LI>Updated discussion of cross-validation and predictive information criteri