Bayesian model selection and statistical modeling
Bayesian model selection is a fundamental part of the Bayesian statistical modeling process. The quality of these solutions usually depends on the goodness of the constructed Bayesian model. Realizing how crucial this issue is, many researchers and practitioners have been extensively investigating the Bayesian model selection problem. This book provides comprehensive explanations of the concepts and derivations of the Bayesian approach for model selection and related criteria, including the Bay…
Read More ↓Title Statements
- Full title :Bayesian model selection and statistical modeling / Tomohiro Ando
Summary
Bayesian model selection is a fundamental part of the Bayesian statistical modeling process. The quality of these solutions usually depends on the goodness of the constructed Bayesian model. Realizing how crucial this issue is, many researchers and practitioners have been extensively investigating the Bayesian model selection problem. This book provides comprehensive explanations of the concepts and derivations of the Bayesian approach for model selection and related criteria, including the Bayes factor, the Bayesian information criterion (BIC), the generalized BIC, and the pseudo marginal likelihood. It also includes a wide range of practical examples of model selection criteria
Read More ↓Edition Statements
- Publication Date:2010
Publication Statements
- Publisher(s):Chapman & Hall/CRC
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:2010
The Physical Object
- Description:xiv, 286 s. : : illustrations
Edition Identifiers
- ISBN:9781439836149, 1439836140
- oclc:ocn760240778
- LC Classification:QA279.5
- Dewey Decimal:519.5 42
Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Geometry driven statistics
Statistical data analysis
Algebraic methods in statistics and probability
Mathematical statistics and stochastic processes
Complex stochastic systems
Rate & Review