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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation Ming T. Tan 1. izdevums
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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation
Ming T. Tan
Presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors, based on the inverse Bayes formulae. This work focuses on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms.
344 pages, 29 black & white illustrations, 46 black & white tables
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2009. gada 26. augusts |
| ISBN13 | 9781420077490 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 346 |
| Izmēri | 164 × 243 × 24 mm · 628 g |
| Valoda | Angļu |
Skatīt visus Ming T. Tan ( piem., Paperback Book un Hardcover Book )