![Bayesian Model Selection and Statistical Modeling by Tomohiro Ando [Repost]](https://pixhost.icu/avaxhome/f9/4a/00354af9_medium.jpeg)
Bayesian Model Selection and Statistical Modeling by Tomohiro Ando [Repost]
![Bayesian Model Selection and Statistical Modeling by Tomohiro Ando [Repost]](https://pixhost.icu/avaxhome/f9/4a/00354af9.jpeg)
Bayesian Model Selection and Statistical Modeling (Statistics: A Series of Textbooks and Monographs) by Tomohiro Ando
English | May 27, 2010 | ISBN: 1439836140 | 300 Pages | PDF | 5 MB
English | May 27, 2010 | ISBN: 1439836140 | 300 Pages | PDF | 5 MB
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.