Data Science: Measuring Uncertainties.


Journal

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

Informations de publication

Date de publication:
20 Dec 2020
Historique:
received: 26 11 2020
revised: 11 12 2020
accepted: 15 12 2020
entrez: 9 1 2021
pubmed: 10 1 2021
medline: 10 1 2021
Statut: epublish

Résumé

With the increase in data processing and storage capacity, a large amount of data is available [...].

Identifiants

pubmed: 33419285
pii: e22121438
doi: 10.3390/e22121438
pmc: PMC7767036
pii:
doi:

Types de publication

Editorial

Langues

eng

Références

Entropy (Basel). 2020 Mar 26;22(4):
pubmed: 33286157
Entropy (Basel). 2020 Oct 26;22(11):
pubmed: 33286986
PLoS One. 2018 May 11;13(5):e0196937
pubmed: 29750803
Entropy (Basel). 2020 Jul 14;22(7):
pubmed: 33286540
Entropy (Basel). 2020 Jan 06;22(1):
pubmed: 33285844
Entropy (Basel). 2020 Apr 30;22(5):
pubmed: 33286285
Entropy (Basel). 2020 Sep 06;22(9):
pubmed: 33286760
Entropy (Basel). 2020 Sep 03;22(9):
pubmed: 33286750
Entropy (Basel). 2020 Aug 31;22(9):
pubmed: 33286737
Entropy (Basel). 2020 Jan 09;22(1):
pubmed: 33285858
Entropy (Basel). 2020 Apr 16;22(4):
pubmed: 33286225

Auteurs

Carlos Alberto de Braganca Pereira (CA)

Department of Statistics, Institute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo 05508-090, Brazil.

Adriano Polpo (A)

Department of Mathematics and Statistics, The University of Western Australia, Perth, WA 6009, Australia.

Agatha Sacramento Rodrigues (AS)

Department of Statistics, Federal University of Espirito Santo, Vitoria 29075-910, Brazil.

Classifications MeSH