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...
| Autores principales: | , , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2011
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/38178 http://www.mdpi.com/1099-4300/13/6/1055 |
| Aporte de: |
| id |
I19-R120-10915-38178 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Exactas Física disequilibrium generalized statistical complexity information theory quantum chaos selection of the probability distribution semiclassical theories |
| spellingShingle |
Ciencias Exactas Física disequilibrium generalized statistical complexity information theory quantum chaos selection of the probability distribution semiclassical theories Kowalski, Andrés Martín, María Teresa Plastino, Ángel Luis Rosso, Osvaldo A. Casas, Montserrat Distances in probability space and the statistical complexity setup |
| topic_facet |
Ciencias Exactas Física 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. |
| format |
Articulo Articulo |
| author |
Kowalski, Andrés Martín, María Teresa Plastino, Ángel Luis Rosso, Osvaldo A. Casas, Montserrat |
| author_facet |
Kowalski, Andrés Martín, María Teresa Plastino, Ángel Luis Rosso, Osvaldo A. Casas, Montserrat |
| author_sort |
Kowalski, Andrés |
| 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://sedici.unlp.edu.ar/handle/10915/38178 http://www.mdpi.com/1099-4300/13/6/1055 |
| work_keys_str_mv |
AT kowalskiandres distancesinprobabilityspaceandthestatisticalcomplexitysetup AT martinmariateresa distancesinprobabilityspaceandthestatisticalcomplexitysetup AT plastinoangelluis distancesinprobabilityspaceandthestatisticalcomplexitysetup AT rossoosvaldoa distancesinprobabilityspaceandthestatisticalcomplexitysetup AT casasmontserrat distancesinprobabilityspaceandthestatisticalcomplexitysetup |
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Repositorios |
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