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Bayesian Data Analysis (Chapman & Hall / CRC Texts in Statistical Science) - Hardcover
Book 29 of 126: Chapman & Hall/CRC Texts in Statistical Science
Synopsis
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis
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. Bayesian Data Analysis, Third Edition 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.
New to the Third Edition
- Four new chapters on nonparametric modeling
- Coverage of weakly informative priors and boundary-avoiding priors
- Updated discussion of cross-validation and predictive information criteria
- Improved convergence monitoring and effective sample size calculations for iterative simulation
- Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
- New and revised software code
The 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.
"synopsis" may belong to another edition of this title.
About the Author
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Doanld B. Rubin
"About this title" may belong to another edition of this title.
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International Edition
Bayesian Data Analysis, 3rd edition (Chapman & Hall/CRC Texts in Statistical Science)
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U.S.A.: Chapman and Hall/CRC, 2013
ISBN 10: 1439840954
ISBN 13: 9781439840955
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Soft cover. Condition: New. Dust Jacket Condition: New. 3rd Edition, International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. Seller Inventory # ABE-8693184296589653654
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Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
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Bayesian Data Analysis Chapman
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Bayesian Data Analysis Chapman
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Bayesian Data Analysis
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Hardback. Condition: Fair. Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow 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. Bayesian Data Analysis, Third Edition 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.New to the Third Edition Four new chapters on nonparametric modelingCoverage of weakly informative priors and boundary-avoiding priorsUpdated discussion of cross-validation and predictive information criteriaImproved convergence monitoring and effective sample size calculations for iterative simulationPresentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagationNew and revised software codeThe 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. Seller Inventory # CIN1439840954A
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Bayesian Data Analysis: Texts in Statistical Science
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CRC Press | Taylor & Francis Group, Boca Raton, FL, 2015
ISBN 10: 1439840954
ISBN 13: 9781439840955
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Hardcover
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Hardcover, 667 pages. Condition: Very Good. Third Edition. Third Edition. Minor rubbing, bumping and scuffing to boards. Pages are clean and appear to be free of writing and highlighting. Binding is tight. Seller Inventory # 11264
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Bayesian Data Analysis (Chapman & Hall / CRC Texts in Statistical Science)
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Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
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hardcover. Condition: New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 001059885N
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Bayesian Data Analysis
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Bayesian Data Analysis 3/ed.
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Dura. Condition: New. Dust Jacket Condition: Usado. No Aplica (illustrator). 3. OBSERVACION: EL LIBRO ES NUEVO, PERO TIENE UN PEQUEÑO DAÑO EN LA TAPA, EN SU PARTE SUPERIOR. 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. Bayesian Data Analysis, Third Edition 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. New to the Third Edition. - Four new chapters on nonparametric modeling. - Coverage of weakly informative priors and boundary-avoiding priors. - Updated discussion of cross-validation and predictive information criteria. - Improved convergence monitoring and effective sample size calculations for iterative simulation. - Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation. - New and revised software code. The 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. 1365 gr. Libro. Seller Inventory # 9781439840955LEA115502