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An Extended Optimal Stopping Method for Structural Change Point Detection Problem
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- Koyama Yoshihide
- Kagawa University
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- Hattori Tetsuo
- Kagawa University
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- Imai Yoshiro
- Kagawa University
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- Horikawa Yo
- Kagawa University
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- Kawakami Yusuke
- Kagawa University
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- Kawano Hiromichi
- NTT advanced technology Company Ltd
Description
Previously, we have proposed and formulated the SCPD (Structural Change Point Detection) problem in time series data as an Optimal Stopping one using the concept of DP (Dynamic Programming). And also we have shown the solution theorem in the form of inequality. In this paper, based on the relation between the solution of Optimal Stopping and NSPRT (New Sequential Probability Ratio Test), we present the extended Optimal Stopping Method in order to obtain more practical one, considering a loss cost and an action cost involved by failure prediction.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 22 583-586, 2017-01-19
ALife Robotics Corporation Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390564238096995712
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed