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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation Ming T. Tan 第1 版本
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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2009年8月26日 |
| ISBN13 | 9781420077490 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 346 |
| 商品尺寸 | 164 × 243 × 24 mm · 628 g |
| 语言 | 英语 |
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