Tomohiro Ando

Bayesian Model Selection and Statistical Modeling (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 300
• Erscheinungstermin: 27. Mai 2010
• Englisch
• ISBN-13: 9781040162538
• Artikelnr.: 73154927

Autorenporträt

Tomohiro Ando is an associate professor of management science in the Graduate School of Business Administration at Keio University in Japan.

Inhaltsangabe

Introduction. Introduction to Bayesian Analysis. Asymptotic Approach for
Bayesian Inference. Computational Approach for Bayesian Inference. Bayesian
Approach for Model Selection. Simulation Approach for Computing the
Marginal Likelihood. Various Bayesian Model Selection Criteria. Theoretical
Development and Comparisons. Bayesian Model Averaging. Bibliography. Index.