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Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach

Traversaro Varela, Francisco et al · RI ITBA · 2020

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"In 2002, Bandt and Pompe [Phys. Rev. Lett. 88, 174102 (2002)] introduced a successfully symbolic encoding scheme based on the ordinal relation between the amplitude of neighboring values of a given data sequence, from which the permutation entropy can be evaluated. Equalities in the analyzed sequence, for example, repeated equal values, deserve special attention and treatment as was shown recently by Zunino and co-workers [Phys. Lett. A 381, 1883 (2017)]. A significant number of equal values can give rise to false conclusions regarding the underlying temporal structures in practical contexts. In the present contribution, we review the different existing methodologies for treating time series with tied values by classifying them according to their different strategies. In addition, a novel data-driven imputation is presented that proves to outperform the existing methodologies and avoid the false conclusions pointed by Zunino and co-workers."

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APA 7

Traversaro Varela, F. E. A. (2020). Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach. http://ri.itba.edu.ar/handle/20.500.14769/2219

MLA

Traversaro Varela, Francisco et al. "Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach." 2020. http://ri.itba.edu.ar/handle/20.500.14769/2219.

Chicago

Traversaro Varela, Francisco et al. 2020. "Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach.". http://ri.itba.edu.ar/handle/20.500.14769/2219.

Harvard

Traversaro Varela, F. E. A. 2020, Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/2219 [Accessed 7 Aug. 2026].

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Title
Bandt-Pompe symbolization dynamics for time series with tied values: a data-driven approach
Author / contributors
Traversaro Varela, Francisco et al
Publisher
RI ITBA
Publication year
2020
ISSN
1054-1500
ISSN
1054-1500
Language
English

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