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dc.date.accessioned 2014-07-18T17:31:29Z
dc.date.available 2014-07-18T17:31:29Z
dc.date.issued 2011-06
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/38178
dc.description.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
dc.format.extent 1055-1075 es
dc.language en es
dc.subject disequilibrium en
dc.subject generalized statistical complexity en
dc.subject information theory en
dc.subject quantum chaos en
dc.subject selection of the probability distribution en
dc.subject semiclassical theories en
dc.title Distances in probability space and the statistical complexity setup en
dc.type Articulo es
sedici.identifier.uri http://www.mdpi.com/1099-4300/13/6/1055 es
sedici.identifier.other https://doi.org/10.3390/e13061055
sedici.identifier.issn 1099-4300 es
sedici.creator.person Kowalski, Andrés es
sedici.creator.person Martín, María Teresa es
sedici.creator.person Plastino, Ángel Luis es
sedici.creator.person Rosso, Osvaldo A. es
sedici.creator.person Casas, Montserrat es
sedici.subject.materias Ciencias Exactas es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 3.0 Unported (CC BY 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by/3.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Entropy es
sedici.relation.journalVolumeAndIssue vol. 13, no. 6 es

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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported (CC BY 3.0)