Mendeley出力
＜図書＞
Bayesian missing data problems : EM, data augmentation and noniterative computation
| 責任表示 | Ming T. Tan, Guo-Liang Tian, Kai Wang Ng |
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| シリーズ | Chapman & Hall/CRC biostatistics series ; 32 |
| データ種別 | 図書 |
| 出版情報 | Boca Raton : Chapman & Hall/CRC , c2010 |
| 本文言語 | 英語 |
| 大きさ | xviii 328 p. ; 25 cm |
| 概要 | Tan (U. of Maryland), Tian (U. of Hong Kong), and Ng (U. of Hong Kong) introduce inverse Bayes formula (IBF)-based methods for missing data problems which combine the strengths of existing approaches ...ia data augmentation. The graduate textbook develops a non-iterative sampling procedure to obtain i.i.d samples exactly from an observed posterior distribution, as well as a sampling approach for obtaining i.i.d samples approximately by combining IBF with the sampling importance resampling procedure and the expectation-maximization algorithm. Although the models can be used in many disciplines, the example applications focus on biomedical studies and health services research, especially cancer and HIV. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com) 続きを見る |
所蔵情報
| 状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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: hbk. | 理系図3F 数理独自 | TAN,/25/1 | 2010 |
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023212009004312 |
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書誌詳細
| 一般注記 | Includes bibliographical references and index |
|---|---|
| 著者標目 | *Tan, Ming T. Tian, Guo-Liang Ng, Kai W |
| 件 名 | LCSH:Bayesian statistical decision theory LCSH:Missing observations (Statistics) |
| 分 類 | LCC:QA279.5 DC22:519.5/42 |
| 書誌ID | 1001398294 |
| ISBN | 9781420077490 |
| NCID | BA91411930 |
| 巻冊次 | : hbk. ; ISBN:9781420077490 |
| 登録日 | 2009.11.02 |
| 更新日 | 2009.11.02 |