<図書>
A mathematical theory of arguments for statistical evidence
責任表示 | Paul-André Monney |
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シリーズ | Contributions to statistics |
データ種別 | 図書 |
出版情報 | Heidelberg : Physica-Verlag , c2003 |
本文言語 | 英語 |
大きさ | xiii, 154 p. ; 24 cm |
概要 | The subject of this book is the reasoning under uncertainty based on statistical evidence. The concepts are developed, explained and illustrated in the context of the mathematical theory of hints, wh...ch is a variant of the Dempster-Shafer theory of evidence. In the first two chapters, the theory of generalized functional models for a discrete parameter is developed, which leads to a general notion of weight of evidence. The second part of the book is dedicated to the study of special linear functional models called Gaussian linear systems. Finally, it is shown that the celebrated Kalman filter can easily be derived by local propagation of Gaussian hints in a Markov tree. 続きを見る |
電子版へのリンク | https://hdl.handle.net/2324/6882346 |
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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理系図3F 数理独自 | MONN/20/1 | 2003 |
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023212002005432 |
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書誌詳細
一般注記 | Includes bibliograhical references and index |
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著者標目 | Monney, Paul-André |
書誌ID | 1001405826 |
ISBN | 3790815276 |
NCID | BA59775811 |
巻冊次 | ISBN:3790815276 |
登録日 | 2009.11.02 |
更新日 | 2017.02.18 |