| Presentation | 2020-10-22 ［招待講演］マルチスケール・ブートストラップ法による選択的推測とその応用 , |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A new selective inference approach via multiscale bootstrap is proposed for general hypotheses conditioned on complicated selective sets. In this approach, we consider the general setting in which the hypothesis and the selection event can be represented as general regions in some parameter space. This method is second-order accurate in the large sample theory of smooth boundary surfaces of regions, and it is also justified for nonsmooth surfaces. Moreover, to computing the selective p-value by this approach, we only need to prepare functions that can tell whether these regions include a realization of the parameter estimate. Since we do not need to know the shapes of regions, this approach can be widely applied. In fact, we introduce several applications of this general approach. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hypothesis testing / Resampling |
| Paper # | IBISML2020-26 |
| Date of Issue | 2020-10-13 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2020/10/20(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Organized Sessions on Frontiers of Machine Learning and General Sessions |
| Chair | Ichiro Takeuchi(Nagoya Inst. of Tech.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(AIST) / Koji Tsuda(NTT) |
| Assistant | Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | Hypothesis testing |
| Keyword(2) | Resampling |
| 1st Author's Name | |
| 1st Author's Affiliation | *(*) |
| Date | 2020-10-22 |
| Paper # | IBISML2020-26 |
| Volume (vol) | vol.120 |
| Number (no) | IBISML-195 |
| Page | pp.pp.45-45(IBISML), |
| #Pages | 1 |
| Date of Issue | 2020-10-13 (IBISML) |