Mendeley出力
＜図書＞
Bayesian nonparametrics via neural networks
| 責任表示 | Herbert K.H. Lee |
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| シリーズ | ASA-SIAM series on statistics and applied probability ; 13 |
| データ種別 | 図書 |
| 出版情報 | Philadelphia, Pa. : Society for Industrial and Applied Mathematics Alexandria, Va. : American Statistical Association , c2004 |
| 本文言語 | 英語 |
| 大きさ | x, 96 p. : ill. ; 26 cm |
| 概要 | This book aims to demystify neural networks for statisticians who do not yet appreciate their usefulness as a finite-dimensional approximation to an infinite-dimensional problem. Lee (applied Mathemat...cs, U. of Santa Cruz) uses two examples throughout the book: a dataset on groundlevel ozone pollution in LA to illustrate a problem in nonparametric regression; and a dataset from consumer banking used as an example of a classification problem. He also discusses important statistical modeling issues for Bayesian neural networks--particularly the choice of prior and the choice of model. Though no knowledge of neural networks is presumed, the discussion does require familiarity with the Bayesian approach, mathematical statistics and linear regression. Annotation ©2004 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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: pbk. | 理系図3F 数理独自 | LEE,/53/1 | 2004 |
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023212004006971 |
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書誌詳細
| 一般注記 | Includes bibliographical references (p. 87-94) and index |
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| 著者標目 | *Lee, Herbert K. H. |
| 件 名 | LCSH:Bayesian statistical decision theory LCSH:Nonparametric statistics LCSH:Neural networks (Computer science) |
| 分 類 | LCC:QA279.5 DC22:519.5/42 |
| 書誌ID | 1001396366 |
| ISBN | 0898715636 |
| NCID | BA70024211 |
| 巻冊次 | : pbk ; ISBN:0898715636 |
| 登録日 | 2009.11.02 |
| 更新日 | 2009.11.02 |