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Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations

Zunino, Luciano et al · RI ITBA · 2021

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Summary

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"The aim of this letter is to introduce the permutation min-entropy as an improved symbolic tool for identifying the existence of hidden temporal correlations in time series. On the one hand, analytical results obtained for the fractional Brownian motion stochastic model theoretically support this hypothesis. On the other hand, the analysis of several computer-generated and experimentally observed time series illustrate that the proposed symbolic quantifier is a versatile and practical tool for identifying the presence of subtle temporal structures in complex dynamical systems. Comparisons against the results obtained with other tools confirm its usefulness as an alternative and/or complementary measure of temporal correlations."

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APA 7

Zunino, L. E. A. (2021). Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations. http://ri.itba.edu.ar/handle/20.500.14769/3454

MLA

Zunino, Luciano et al. "Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations." 2021. http://ri.itba.edu.ar/handle/20.500.14769/3454.

Chicago

Zunino, Luciano et al. 2021. "Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations.". http://ri.itba.edu.ar/handle/20.500.14769/3454.

Harvard

Zunino, L. E. A. 2021, Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/3454 [Accessed 8 Aug. 2026].

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Title
Permutation min-entropy: an improved quantifier for unveiling subtle temporal correlations
Author / contributors
Zunino, Luciano et al
Publisher
RI ITBA
Publication year
2021
ISSN
0295-5075
ISSN
0295-5075
Language
English

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