Distances in probability space and the statistical complexity setup
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 rev...
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2011
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_10994300_v13_n6_p1055_Kowalski |
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paperaa:paper_10994300_v13_n6_p1055_Kowalski2023-06-12T16:49:41Z Distances in probability space and the statistical complexity setup Entropy 2011;13(6):1055-1075 Kowalski, A.M. Martín, M.T. Plastino, A. Rosso, O.A. Casas, M. Disequilibrium Generalized statistical complexity Information theory Quantum chaos Selection of the probability distribution Semiclassical theories 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. © 2011 by the authors; licensee MDPI, Basel, Switzerland. 2011 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_10994300_v13_n6_p1055_Kowalski |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
language |
Inglés |
orig_language_str_mv |
eng |
topic |
Disequilibrium Generalized statistical complexity Information theory Quantum chaos Selection of the probability distribution Semiclassical theories |
spellingShingle |
Disequilibrium Generalized statistical complexity Information theory Quantum chaos Selection of the probability distribution Semiclassical theories Kowalski, A.M. Martín, M.T. Plastino, A. Rosso, O.A. Casas, M. Distances in probability space and the statistical complexity setup |
topic_facet |
Disequilibrium Generalized statistical complexity Information theory Quantum chaos Selection of the probability distribution Semiclassical theories |
description |
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. © 2011 by the authors; licensee MDPI, Basel, Switzerland. |
format |
Artículo Artículo publishedVersion |
author |
Kowalski, A.M. Martín, M.T. Plastino, A. Rosso, O.A. Casas, M. |
author_facet |
Kowalski, A.M. Martín, M.T. Plastino, A. Rosso, O.A. Casas, M. |
author_sort |
Kowalski, A.M. |
title |
Distances in probability space and the statistical complexity setup |
title_short |
Distances in probability space and the statistical complexity setup |
title_full |
Distances in probability space and the statistical complexity setup |
title_fullStr |
Distances in probability space and the statistical complexity setup |
title_full_unstemmed |
Distances in probability space and the statistical complexity setup |
title_sort |
distances in probability space and the statistical complexity setup |
publishDate |
2011 |
url |
http://hdl.handle.net/20.500.12110/paper_10994300_v13_n6_p1055_Kowalski |
work_keys_str_mv |
AT kowalskiam distancesinprobabilityspaceandthestatisticalcomplexitysetup AT martinmt distancesinprobabilityspaceandthestatisticalcomplexitysetup AT plastinoa distancesinprobabilityspaceandthestatisticalcomplexitysetup AT rossooa distancesinprobabilityspaceandthestatisticalcomplexitysetup AT casasm distancesinprobabilityspaceandthestatisticalcomplexitysetup |
_version_ |
1769810346280747008 |