Change-Point Detection Using the Conditional Entropy of Ordinal Patterns
This paper is devoted to change-point detection using only the ordinal structure of a time series. A statistic based on the conditional entropy of ordinal patterns characterizing the local up and down in a time series is introduced and investigated. The statistic requires only minimal a priori infor...
Main Authors: | Anton M. Unakafov, Karsten Keller |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/20/9/709 |
Similar Items
-
Ordinal Patterns, Entropy, and EEG
by: Karsten Keller, et al.
Published: (2014-11-01) -
Ordinal Pattern Based Entropies and the Kolmogorov–Sinai Entropy: An Update
by: Tim Gutjahr, et al.
Published: (2020-01-01) -
Algorithmics, Possibilities and Limits of Ordinal Pattern Based Entropies
by: Albert B. Piek, et al.
Published: (2019-05-01) -
Generalized Ordinal Patterns and the KS-Entropy
by: Tim Gutjahr, et al.
Published: (2021-08-01) -
Permutation Entropy: New Ideas and Challenges
by: Karsten Keller, et al.
Published: (2017-03-01)