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Bayesian Essentials with R (Springer Texts in Statistics)

Jean-Michel Marin, Christian P. Robert




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 | #7110589 in Books |  2016-08-23 |  2016-08-23 | Original language:English | PDF # 1 |  9.25 x.74 x6.10l,.0 | File type: PDF | 296 pages

||0 of 0 people found the following review helpful.| ... authors provide a succinct (and occasionally witty) exposition of useful statistical methods and programming techniques|By John P. Burkett|The authors provide a succinct (and occasionally witty) exposition of useful statistical methods and programming techniques.|8 of 11 people found the following review helpful.| Kindle Version is problematic ||“This book is a very helpful and useful introduction to Bayesian methods of data analysis. I found the use of R, the code in the book, and the companion R package, bayess, to be helpful to those who want to begin using Bayesian methods in data analysis.

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 situati...

You easily download any file type for your gadget.Bayesian Essentials with R (Springer Texts in Statistics)   |  Jean-Michel Marin, Christian P. Robert. A good, fresh read, highly recommended.

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