Bayesian Essentials with R

• Main Authors: Marin, Jean-Michel (Author), Robert, Christian P. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Edition: 2nd ed. 2014.
• Series: Springer Texts in Statistics,
• Subjects: Statistics.; Statistics and Computing/Statistics Programs.; Statistical Theory and Methods.

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian...

Table of Contents:

• User's Manual
• Normal Models
• Regression and Variable Selection
• Generalized Linear Models
• Capture-Recapture Experiments
• Mixture Models
• Time Series
• Image Analysis
• References
• Index.