Theory of Bayesian Multiscale Bootstrap and its Applications
Project/Area Number |
20500254
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Statistical science
|
Research Institution | Tokyo Institute of Technology |
Principal Investigator |
SHIMODAIRA Hidetoshi Tokyo Institute of Technology, 大学院・情報理工学研究科, 准教授 (00290867)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2008: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
Keywords | リサンプリング / マルチスケール / スケーリング則 / 仮説検定 / 信頼度 / 機械学習 / バイオインフォマティクス / モデル選択 / ブートストラップ / アルゴリズム / 統計数学 / 系統進化 / 統計的仮説検定 / ランダムネス |
Research Abstract |
A resampling algorithm based on a scaling-law of randomness has been studied for computing a highly accurate confidence level of data analysis. In a previous study, we have proposed multiscale bootstrap method which computes an approximately unbiased confidence level (p-value) of statistical hypothesis testing in a frequentist sense. In this study, we proposed a method for computing the posterior probability in a Bayesian sense. We have shown a connection between the frequentist and the Bayesian confidence levels. We also studied a confidence level, as well as an active learning, for machine learning using the scaling-law of the randomness.
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Report
(4 results)
Research Products
(31 results)
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[Book] 21世紀の統計科学III数理・計算の統計科学2008
Author(s)
竹村彰通, 北川源四郎, 藤越康祝, 久保川達也, 塚原英敦, 田中勝人, 内田雅之, 下平英寿, 渡辺美智子, 古澄英男, 生駒哲一
Publisher
東京大学出版会
Related Report
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[Book] 21世紀の統計科学I I I 数理・計算の統計科学2008
Author(s)
竹村彰通, 北川源四郎, 藤越康祝, 久保川達也, 塚原英敦, 田中勝人, 内田雅之, 下平英寿, 渡辺美智子, 古澄英男, 生駒哲一
Publisher
東京大学出版会
Related Report
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