Bayesian Data Analysis 3rd Edition

Bayesian Data Analysis 3rd Edition – New: A new, unread, unused book in good condition with no missing or damaged pages. See … Read more about New condition: New, unread, and unused book in good condition with no missing or damaged pages. See seller listing for complete details. View all status definitions opens in a new window or tab

Winner of the 2016 De Groot Award from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely regarded as the best text on Bayesian methods, recognized for its accessible, practical approach in data analysis and research problem solving. Bayesian Data Analysis, Third Edition continues to take an active approach to analysis using modern Bayesian methods. The authors—all leaders in the statistical community—introduce basic concepts from a data analysis perspective before presenting detailed methods. Throughout the text, numerous worked examples from real applications and research emphasize the application of Bayesian inference in practice. New for Third Edition Four new chapters on non-parametric sample design Allocation of weak priors for informativeness and avoidance Updated priors for cross-validation and predictive information criteria Improved convergence monitoring and better calculation of sample size for repeated simulation times Monte Carlo Presentations of Hamilton, Bayes differences. , and expectation propagation The new and revised programming code The book can be used in three different ways. For undergraduates, it introduces Bayesian inference from first principles. For graduate students, the text presents current best practices in Bayesian modeling and computation in statistics and related fields. For researchers, it provides a variety of Bayesian methods in applied statistics. Additional resources, including the data sets used in the examples, solutions to selected exercises, and program instructions, are available on the book’s web page.

Bayesian Data Analysis 3rd Edition

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An Introduction To Error Analysis By: Taylor

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Quantitative Assessment Of Pb Sources In Isotopic Mixtures Using A Bayesian Mixing Model

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