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dc.provenanceComisión de Investigaciones Científicas-
dc.contributorCasas, Montserrat-
dc.contributorKowalski, Andrés Mauricio-
dc.contributorMartín, María Teresa-
dc.contributorPlastino, Angel Luis-
dc.contributorRosso, Osvaldo A.-
dc.creatorCasas, Montserrat-
dc.creatorKowalski, Andrés Mauricio-
dc.creatorMartín, María Teresa-
dc.creatorPlastino, Angel Luis-
dc.creatorRosso, Osvaldo A.-
dc.date2011-06-01-
dc.date.accessioned2019-04-29T16:15:07Z-
dc.date.available2019-04-29T16:15:07Z-
dc.date.issued2011-06-01-
dc.identifierhttp://digital.cic.gba.gob.ar/handle/11746/3707-
dc.identifierRegistro completo-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/312565-
dc.descriptionStatistical complexity measures (SCM) are the composition of two ingredients: (i) entropies and (ii) distances in probability-space. In consequence, SCMs provide a simultaneous quantification of the randomness and the correlational structures present in the system under study. We address in this review important topics underlying the SCM structure, viz., (a) a good choice of probability metric space and (b) how to assess the best distance-choice, which in this context is called a disequilibrium and is denoted with the letter Q. Q, indeed the crucial SCM ingredient, is cast in terms of an associated distance D. Since out input data consists of time-series, we also discuss the best way of extracting from the time series a probability distribution P. As an illustration, we show just how these issues affect the description of the classical limit of quantum mechanics.-
dc.formatapplication/pdf-
dc.format21 p.-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution 4.0 International (BY 4.0)-
dc.sourcereponame:CIC Digital (CICBA)-
dc.sourceinstname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires-
dc.sourceinstacron:CICBA-
dc.source.urihttp://digital.cic.gba.gob.ar/handle/11746/3707-
dc.source.uriRegistro completo-
dc.subjectCiencias Naturales y Exactas-
dc.subjectCiencias Físicas-
dc.titleDistances in probability space and the statistical complexity setup-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/submittedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: Comisión de Investigaciones Científicas de la Prov. de Buenos Aires

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