Tomohiro Ando

Bayesian Model Selection and Statistical Modeling

• Broschiertes Buch

Produktbeschreibung

Ando shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 300
• Erscheinungstermin: 19. September 2019
• Englisch
• Abmessung: 234mm x 156mm x 16mm
• Gewicht: 426g
• ISBN-13: 9780367383978
• ISBN-10: 0367383977
• Artikelnr.: 57816646

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.