Presentation 2018-03-13
Detecting changing points in multivariate nonlinear time series
Rei Kotera, Tomomichi Nakamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are many natural phenomena that show irregular fluctuations. We expect that the data are generated by a system. The state of the system is not always the same and it might change from time to time. Hence, detecting the changing points in the state of the system has a significant role in understanding the phenomenon. In this paper, we propose a method to detect the changing points in the multivariate nonlinear time series data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Time series analysis / change-point detection / locally stationary model
Paper # NLP2017-108
Date of Issue 2018-03-06 (NLP)

Conference Information
Committee MSS / NLP
Conference Date 2018/3/12(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Morikazu Nakamura(Univ. of Ryukyus) / Masaharu Adachi(Tokyo Denki Univ.)
Vice Chair Shigemasa Takai(Osaka Univ.) / Norikazu Takahashi(Okayama Univ.)
Secretary Shigemasa Takai(Toshiba) / Norikazu Takahashi(Osaka Univ.)
Assistant Hideki Kinjo(Okinawa Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detecting changing points in multivariate nonlinear time series
Sub Title (in English)
Keyword(1) Time series analysis
Keyword(2) change-point detection
Keyword(3) locally stationary model
1st Author's Name Rei Kotera
1st Author's Affiliation University of Hyogo(Univ. of Hyogo)
2nd Author's Name Tomomichi Nakamura
2nd Author's Affiliation University of Hyogo(Univ. of Hyogo)
Date 2018-03-13
Paper # NLP2017-108
Volume (vol) vol.117
Number (no) NLP-505
Page pp.pp.37-42(NLP),
#Pages 6
Date of Issue 2018-03-06 (NLP)