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Approximating Information Measures for Fields

We supply corrected proofs of the invariance of completion and the chain rule for the Shannon information measures of arbitrary fields, as stated by Dębowski in 2009. Our corrected proofs rest on a number of auxiliary approximation results for Shannon information measures, which may be of an indepen...

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Autor principal: Dębowski, Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516512/
https://www.ncbi.nlm.nih.gov/pubmed/33285857
http://dx.doi.org/10.3390/e22010079
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author Dębowski, Łukasz
author_facet Dębowski, Łukasz
author_sort Dębowski, Łukasz
collection PubMed
description We supply corrected proofs of the invariance of completion and the chain rule for the Shannon information measures of arbitrary fields, as stated by Dębowski in 2009. Our corrected proofs rest on a number of auxiliary approximation results for Shannon information measures, which may be of an independent interest. As also discussed briefly in this article, the generalized calculus of Shannon information measures for fields, including the invariance of completion and the chain rule, is useful in particular for studying the ergodic decomposition of stationary processes and its links with statistical modeling of natural language.
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spelling pubmed-75165122020-11-09 Approximating Information Measures for Fields Dębowski, Łukasz Entropy (Basel) Article We supply corrected proofs of the invariance of completion and the chain rule for the Shannon information measures of arbitrary fields, as stated by Dębowski in 2009. Our corrected proofs rest on a number of auxiliary approximation results for Shannon information measures, which may be of an independent interest. As also discussed briefly in this article, the generalized calculus of Shannon information measures for fields, including the invariance of completion and the chain rule, is useful in particular for studying the ergodic decomposition of stationary processes and its links with statistical modeling of natural language. MDPI 2020-01-09 /pmc/articles/PMC7516512/ /pubmed/33285857 http://dx.doi.org/10.3390/e22010079 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dębowski, Łukasz
Approximating Information Measures for Fields
title Approximating Information Measures for Fields
title_full Approximating Information Measures for Fields
title_fullStr Approximating Information Measures for Fields
title_full_unstemmed Approximating Information Measures for Fields
title_short Approximating Information Measures for Fields
title_sort approximating information measures for fields
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516512/
https://www.ncbi.nlm.nih.gov/pubmed/33285857
http://dx.doi.org/10.3390/e22010079
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