Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations
- Autores
- Zunino, Luciano José; Olivares Zamora, Felipe Esteban; Rosso, Osvaldo Anibal
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; Argentina
Fil: Olivares Zamora, Felipe Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; Argentina
Fil: Rosso, Osvaldo Anibal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil - Materia
-
Time Series Analysis
Entropy
Complex Systems - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/21677
Ver los metadatos del registro completo
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Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlationsZunino, Luciano JoséOlivares Zamora, Felipe EstebanRosso, Osvaldo AnibalTime Series AnalysisEntropyComplex Systemshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The 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.Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; ArgentinaFil: Olivares Zamora, Felipe Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; ArgentinaFil: Rosso, Osvaldo Anibal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; BrasilIOP Publishing2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/21677Zunino, Luciano José; Olivares Zamora, Felipe Esteban; Rosso, Osvaldo Anibal; Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations; IOP Publishing; Europhysics Letters; 109; 1; 1-2015; 1-6; 100050295-5075CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/109/10005/metainfo:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/109/10005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:03Zoai:ri.conicet.gov.ar:11336/21677instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:32:03.877CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
title |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
spellingShingle |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations Zunino, Luciano José Time Series Analysis Entropy Complex Systems |
title_short |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
title_full |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
title_fullStr |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
title_full_unstemmed |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
title_sort |
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations |
dc.creator.none.fl_str_mv |
Zunino, Luciano José Olivares Zamora, Felipe Esteban Rosso, Osvaldo Anibal |
author |
Zunino, Luciano José |
author_facet |
Zunino, Luciano José Olivares Zamora, Felipe Esteban Rosso, Osvaldo Anibal |
author_role |
author |
author2 |
Olivares Zamora, Felipe Esteban Rosso, Osvaldo Anibal |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Time Series Analysis Entropy Complex Systems |
topic |
Time Series Analysis Entropy Complex Systems |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; Argentina Fil: Olivares Zamora, Felipe Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Investigaciones Opticas. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Centro de Investigaciones Opticas. Universidad Nacional de la Plata. Centro de Investigaciones Opticas; Argentina Fil: Rosso, Osvaldo Anibal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil |
description |
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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/21677 Zunino, Luciano José; Olivares Zamora, Felipe Esteban; Rosso, Osvaldo Anibal; Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations; IOP Publishing; Europhysics Letters; 109; 1; 1-2015; 1-6; 10005 0295-5075 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/21677 |
identifier_str_mv |
Zunino, Luciano José; Olivares Zamora, Felipe Esteban; Rosso, Osvaldo Anibal; Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations; IOP Publishing; Europhysics Letters; 109; 1; 1-2015; 1-6; 10005 0295-5075 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/109/10005/meta info:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/109/10005 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
IOP Publishing |
publisher.none.fl_str_mv |
IOP Publishing |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614333124837376 |
score |
13.070432 |