{"product_id":"bayesian-data-analysis-hardcover","title":"Bayesian Data Analysis - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAndrew Gelman\u003c\/b\u003e (Author), \u003cb\u003eJohn B. Carlin\u003c\/b\u003e (Author), \u003cb\u003eHal S. Stern\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWinner of the 2016 De Groot Prize from the International Society for Bayesian Analysis\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eNow 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. \u003cstrong\u003eBayesian Data Analysis, Third Edition\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNew to the Third Edition\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eFour new chapters on nonparametric modeling\u003c\/li\u003e \u003cli\u003eCoverage of weakly informative priors and boundary-avoiding priors\u003c\/li\u003e \u003cli\u003eUpdated discussion of cross-validation and predictive information criteria\u003c\/li\u003e \u003cli\u003eImproved convergence monitoring and effective sample size calculations for iterative simulation\u003c\/li\u003e \u003cli\u003ePresentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation\u003c\/li\u003e \u003cli\u003eNew and revised software code\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book's web page.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 675\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.4 x 10.1 x 7.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 07, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47336874574073,"sku":"9781439840955","price":187.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/U2JRSDV2c2J4bjUxQ3ZCZnZ2YVl1dz09.webp?v=1769671445","url":"https:\/\/bookscloud.io\/products\/bayesian-data-analysis-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}