| Paper Abstract and Keywords |
| Presentation |
2021-03-02 10:25
Selective Inference for Convex Clustering Using Parametric Programming Yumehiro Omori, Yu Inatsu (Nitech), Ichiro Takeuchi (Nitech/RIKEN) IBISML2020-35 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Traditional statistical inference assumes that the hypothesis is predetermined and cannot be used as is for statistical inference of the data-driven hypothesis selected by data analysis. In recent years, an approach called Selective Inference has attracted attention as a statistical inference method for data-driven hypotheses. In this study, we propose a selective inference method using parametric programming for convex clustering. Through artificial data experiments,we show that it is possible to control the false positive rate at any significance level, and that the proposed method is more powerful than the conventional selective inference method using the polyhedral approach. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Selective Inference / Convex Clustering / Parametric Programming / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 395, IBISML2020-35, pp. 9-15, March 2021. |
| Paper # |
IBISML2020-35 |
| Date of Issue |
2021-02-23 (IBISML) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
IBISML2020-35 |
| Conference Information |
| Committee |
IBISML |
| Conference Date |
2021-03-02 - 2021-03-04 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Organized and general sessions on machine learning |
| Paper Information |
| Registration To |
IBISML |
| Conference Code |
2021-03-IBISML |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Selective Inference for Convex Clustering Using Parametric Programming |
| Sub Title (in English) |
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| Keyword(1) |
Selective Inference |
| Keyword(2) |
Convex Clustering |
| Keyword(3) |
Parametric Programming |
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| 1st Author's Name |
Yumehiro Omori |
| 1st Author's Affiliation |
Nagoya Institute of Technology (Nitech) |
| 2nd Author's Name |
Yu Inatsu |
| 2nd Author's Affiliation |
Nagoya Institute of Technology (Nitech) |
| 3rd Author's Name |
Ichiro Takeuchi |
| 3rd Author's Affiliation |
Nagoya Institute of Technology/RIKEN (Nitech/RIKEN) |
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| Speaker |
Author-1 |
| Date Time |
2021-03-02 10:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
IBISML |
| Paper # |
IBISML2020-35 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.395 |
| Page |
pp.9-15 |
| #Pages |
7 |
| Date of Issue |
2021-02-23 (IBISML) |