Distances in probability space and the statistical complexity setup
cic.isFulltext | true | es |
cic.isPeerReviewed | true | es |
cic.lugarDesarrollo | Universidad Nacional de La Plata | es |
cic.version | info:eu-repo/semantics/publishedVersion | es |
dc.date.accessioned | 2016-05-19T17:16:45Z | |
dc.date.available | 2016-05-19T17:16:45Z | |
dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/2142 | |
dc.title | Distances in probability space and the statistical complexity setup | en |
dc.type | Artículo | es |
dcterms.abstract | Statistical 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. | en |
dcterms.creator.author | Kowalski, Andrés Mauricio | es |
dcterms.creator.author | Martín, María Teresa | es |
dcterms.creator.author | Plastino, Ángelo | es |
dcterms.creator.author | Rosso, Osvaldo A. | es |
dcterms.creator.author | Casas, Montserrat | es |
dcterms.extent | p. 1055-1075 | es |
dcterms.identifier.other | doi:10.3390/e13061055 | es |
dcterms.identifier.other | ISSN 1099-4300 | es |
dcterms.identifier.url | Enlace externo | es |
dcterms.isPartOf.issue | vol. 13, no. 6 | es |
dcterms.isPartOf.item | Informe científico de investigador: Kowalski, Andrés Mauricio (2011-2012) | es |
dcterms.isPartOf.series | Entropy | es |
dcterms.issued | 2011-06 | |
dcterms.language | Inglés | es |
dcterms.license | Attribution 4.0 International (BY 4.0) | es |
dcterms.subject | Teoría de la Información | es |
dcterms.subject | Probabilidad | es |
dcterms.subject | disequilibrium | en |
dcterms.subject | generalized statistical complexity | en |
dcterms.subject.materia | Ciencias Físicas | es |
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