Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation
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About this book
Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-wor
| Author | Ming T. Tan, Guo-Liang Tian, Kai Wang Ng |
| ISBN-13 | 9781040173275 |
| Publisher | CRC Press |
| Publication Date | 08/26/2009 |
| Page Count | 344 pages |
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- PDF, instant download
- Language
- English
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