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Bayesian Model Selection and Statistical Modeling (Statistics: A Series of Textbooks and Monographs) by Tomohiro. Ando is a nonfiction available to read on EtoBox.

What is Bayesian Model Selection and Statistical Modeling (Statistics: A Series of Textbooks and Monographs) about?

"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 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, the Bayesian predictive information criterion, and the deviance information criterion. He also provides a theoretical basis for the analysis of these criteria. In addition, the author discusses how Bayesian model averaging can simultaneously treat both model and parameter uncertainties. Selecting and constructing the appropriate statistical model significantly affect the quality of results in decision making, forecasting, stochastic structure explorations, and other problems. Helping you choose the right Bayesian model, this book focuses on the framework for Bayesian model selection and includ

Who reads Bayesian Model Selection and Statistical Modeling (Statistics: A Series of Textbooks and Monographs)?

Author

Tomohiro. Ando

Publisher

CRC Press; Chapman and Hall/CRC; Chapman & Hall/CRC

Published

2010

Language

EN

ISBN

9781439836149

Category

nonfiction

Subjects

Mathematics, Stem