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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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| Edition: | 2nd ed. 2014. |
| Series: | Springer Texts in Statistics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
