Bayesian Methods for Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Product ID: 803563158
Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo ( Review: Good textbook for introduction into Bayesian computing - This is a good introductory book on Bayesian statistics for those looking to dive in. It comes with a host of online tools (datasets, codes, and examples) that are useful but MCMC computing is primarily based on the outdated (but functional) open-sourced R-based WinBugs, which was discontinued but free for all to use. This book can teach you how to program your own MCMC code to run in R or R-Studio (both open-source).
| ASIN | B00OD3XL2O |
| Accessibility | Learn more |
| Customer reviews | 4.7 4.7 out of 5 stars (3) |
| Edition | 3rd |
| Enhanced typesetting | Not Enabled |
| File size | 11.7 MB |
| Format | Print Replica |
| ISBN-13 | 978-1584886983 |
| Language | English |
| Page Flip | Not Enabled |
| Part of series | Chapman & Hall/CRC Texts in Statistical Science |
| Print length | 552 pages |
| Publication date | 30 Jun. 2008 |
| Publisher | Chapman and Hall/CRC |
| Word Wise | Not Enabled |
| X-Ray | Not Enabled |
M**S
Good textbook for introduction into Bayesian computing
This is a good introductory book on Bayesian statistics for those looking to dive in. It comes with a host of online tools (datasets, codes, and examples) that are useful but MCMC computing is primarily based on the outdated (but functional) open-sourced R-based WinBugs, which was discontinued but free for all to use. This book can teach you how to program your own MCMC code to run in R or R-Studio (both open-source).
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