Bayesian Core
A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
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Word Count
64,500 words, Guess
Page Count
258 pages
Identifiers
- Open LibraryOL7445753M
- ISBN-139780387389790
- ISBN-100387389792
- OCLC Control Number83599756
- OCLC Control Numberbayesiancoreprac00mari_110
and 3 more
- Library of Congress Control Number2006932972
- LibraryThing3345773
- Goodreads1694797
Classifications
- LCCQA279.5 .M357 2007
Description
"This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book's Web site, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. 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 toward an effective programming of the methods given in the book. While R programs are provided on the book's Web site and R hints are given in the computational sections of the book, Bayesian Core: A Practical Approach to Computational Bayesian Statistics requires no knowledge of the R language, and it can be read and used with any other programming language."--BOOK JACKET.
Subjects
Topics
Other Editions
- Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
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