Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems.


Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
16 May 2022
Historique:
received: 03 05 2022
accepted: 13 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

Data science, information theory, probability theory, statistical learning, statistical signal processing, and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures [...].

Identifiants

pubmed: 35626595
pii: e24050712
doi: 10.3390/e24050712
pmc: PMC9141399
pii:
doi:

Types de publication

Editorial

Langues

eng

Références

Entropy (Basel). 2022 Jan 27;24(2):
pubmed: 35205483
Entropy (Basel). 2020 Mar 11;22(3):
pubmed: 33286090
Entropy (Basel). 2020 Nov 21;22(11):
pubmed: 33287092
Entropy (Basel). 2020 May 18;22(5):
pubmed: 33286335
Entropy (Basel). 2021 Feb 05;23(2):
pubmed: 33562882
Entropy (Basel). 2021 Jan 31;23(2):
pubmed: 33572695
Entropy (Basel). 2020 Nov 01;22(11):
pubmed: 33287012
Entropy (Basel). 2020 Feb 16;22(2):
pubmed: 33285995
Entropy (Basel). 2018 May 19;20(5):
pubmed: 33265473

Auteurs

Igal Sason (I)

Andrew & Erna Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Faculty of Mathematics, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Classifications MeSH