Bayesian Essentials with R

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...

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Bibliographic Details
Main Authors: Marin, Jean-Michel. (Author, http://id.loc.gov/vocabulary/relators/aut), Robert, Christian P. (http://id.loc.gov/vocabulary/relators/aut)
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:
Online Access:https://doi.org/10.1007/978-1-4614-8687-9
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