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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/864180801 Title: Bayesian essentials with R Author: Jean-Michel Marin; Christian P Robert Publisher: New York : Springer, 2014. ISBN/ISSN: 9781461486879 1461486874 1461486866 9781461486862 OCLC:864180801

  
  

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Bayesian essentials with R

Author:	Jean-Michel Marin; Christian P Robert
Publisher:	New York : Springer, 2014.
Series:	Springer texts in statistics
Edition/Format:	eBook : Document : English : Second editionView all editions and formats
Summary:	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 inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable.  Read more...
Subjects	Bayesian statistical decision theory. R (Computer program language) Théorie de la décision bayésienne. View all subjects
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