Bayesian essentials with R (eBook, 2014) [WorldCat.org]
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Bayesian essentials with R
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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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jean-Michel Marin; Christian P Robert
ISBN: 9781461486879 1461486874 1461486866 9781461486862
OCLC Number: 864180801
Language Note: English.
Description: 1 online resource (xiv, 296 pages) : illustrations (some color)
Contents: User's Manual --
Normal Models --
Regression and Variable Selection --
Generalized Linear Models --
Capture-Recapture Experiments --
Mixture Models --
Time Series --
Image Analysis.
Series Title: Springer texts in statistics
Responsibility: Jean-Michel Marin, Christian P. Robert.
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Abstract:

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics.  Read more...

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"The material covered is perhaps quite ambitious and covers more than an introductory course in Bayesian statistics. PhD students and all those who want to check the computational details of the Read more...

 
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