Bayesian missing data problems: EM, data augmentation and noniterative computation
Material type:
- 9781420077490
- 519.542 T2B2
Item type | Current library | Item location | Shelving location | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Vikram Sarabhai Library | Rack 33-A / Slot 1677 (2nd Floor, East Wing) | General Stacks | 519.542 T2B2 (Browse shelf(Opens below)) | Available | 174458 |
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-world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms. (http://www.crcpress.com/product/isbn/9781420077490)
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