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Bayesian Data Analysis
Buch von Aki Vehtari (u. a.)
Sprache: Englisch

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Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis

Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date Bayesian methods. Along with new and revised software code, this edition includes four new chapters on nonparametric modeling, updates the discussion of cross-validation and predictive information criteria, and improves convergence monitoring and effective sample size calculations for iterative simulation. It also covers weakly informative priors, boundary-avoiding priors, Hamiltonian Monte Carlo, variational Bayes, and expectation propagation. Data sets and other materials are available online.

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis

Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date Bayesian methods. Along with new and revised software code, this edition includes four new chapters on nonparametric modeling, updates the discussion of cross-validation and predictive information criteria, and improves convergence monitoring and effective sample size calculations for iterative simulation. It also covers weakly informative priors, boundary-avoiding priors, Hamiltonian Monte Carlo, variational Bayes, and expectation propagation. Data sets and other materials are available online.

Über den Autor
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Doanld B. Rubin
Inhaltsverzeichnis

Fundamentals of Bayesian Inference. Fundamentals of Bayesian Data Analysis. Advanced Computation. Regression Models. Nonlinear and Nonparametric Models. Appendices.

Details
Erscheinungsjahr: 2013
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781439840955
ISBN-10: 1439840954
Sprache: Englisch
Einband: Gebunden
Autor: Vehtari, Aki
Gelman, Andrew
Dunson, David B.
Rubin, Donald B.
Stern, Hal S.
Carlin, John B.
Hersteller: Taylor & Francis Inc
Maße: 258 x 182 x 43 mm
Von/Mit: Aki Vehtari (u. a.)
Erscheinungsdatum: 01.11.2013
Gewicht: 1,486 kg
Artikel-ID: 106971334
Über den Autor
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Doanld B. Rubin
Inhaltsverzeichnis

Fundamentals of Bayesian Inference. Fundamentals of Bayesian Data Analysis. Advanced Computation. Regression Models. Nonlinear and Nonparametric Models. Appendices.

Details
Erscheinungsjahr: 2013
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781439840955
ISBN-10: 1439840954
Sprache: Englisch
Einband: Gebunden
Autor: Vehtari, Aki
Gelman, Andrew
Dunson, David B.
Rubin, Donald B.
Stern, Hal S.
Carlin, John B.
Hersteller: Taylor & Francis Inc
Maße: 258 x 182 x 43 mm
Von/Mit: Aki Vehtari (u. a.)
Erscheinungsdatum: 01.11.2013
Gewicht: 1,486 kg
Artikel-ID: 106971334
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