Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length

We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden ordinal patterns and transition likelihoods from ordinal patterns into others. The null hypothesis is that the details of the under...

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Bibliographic Details
Main Authors: Yoshito Hirata, Masanori Shiro, José M. Amigó
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/7/713