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レイティングのベイズ統計モデリング
https://doi.org/10.34360/00011022
https://doi.org/10.34360/00011022a10620b0-30dc-4629-9edc-d033c3f3cfda
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
1061_0028_02.pdf (2.0 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||
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| 公開日 | 2020-07-16 | |||||||
| タイトル | ||||||||
| タイトル | レイティングのベイズ統計モデリング | |||||||
| 言語 | ||||||||
| 言語 | jpn | |||||||
| キーワード | ||||||||
| 主題 | Hideya, Ishizuchi, Bayesian, statistical modeling, rating, Elo, Massey, RStan | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | departmental bulletin paper | |||||||
| ID登録 | ||||||||
| ID登録 | 10.34360/00011022 | |||||||
| ID登録タイプ | JaLC | |||||||
| 別言語のタイトル(英) | ||||||||
| タイトル | Bayesian Statistical Modeling of Ratings | |||||||
| 作成者 |
石鎚, 英也
× 石鎚, 英也
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| 内容記述 | ||||||||
| 内容記述 | In the world of games and sports, various rating methods have been developed and used in order to rank players or teams according to their real abilities - Elo rating in chess and Massey rating in college football, for instance. Players and teams are re-rated according to the results of matches, and rating scores and rankings can be updated instantly. However, the followings may be pointed out as drawbacks of prevailing rating methods: It possibly takes time to get stable rating values. It is difficult to properly set parameters included in the updating formulae. And rating values tend to be inflationary. In this study, traditional and standard rating methods are extended by Bayesian statistical modeling so as to mitigate such drawbacks. Then, they are applied to real records of games and sports. |
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| 公開者 | ||||||||
| 出版者 | 専修大学ネットワーク情報学会 | |||||||
| ISSN | ||||||||
| 収録物識別子 | 1347-1449 | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子 | AA12406879 | |||||||
| 書誌情報 |
専修ネットワーク&インフォメーション en : Network and Information 巻 28, p. 1-16, 発行日 2020-03-10 |
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| 出版タイプ | ||||||||
| 出版タイプ | NA | |||||||
