Measuring dynamical uncertainty with Revealed Dynamics Markov Models

Measuring dynamical uncertainty with Revealed Dynamics Markov Models

Concepts and measures of time series uncertainty and complexity have been applied across domains for behavior classification, risk assessments, and event detection/prediction. This paper contributes three new measures based on an encoding of the series' phase space into a descriptive Markov mod...

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書目詳細資料
Main Authors:	Bramson, Aaron, Baland, Adrien, Iriki, Atsushi
其他作者:	Lee Kong Chian School of Medicine (LKCMedicine)
格式:	Article
語言:	English
出版:	2020
主題:	Science::Mathematics Time Series Entropy
在線閱讀:	https://hdl.handle.net/10356/145456
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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