Analysis of air pollution time series using complexity-invariant distance and information measures

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Serval ID
serval:BIB_459DBF315A81
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Analysis of air pollution time series using complexity-invariant distance and information measures
Journal
Physica A: Statistical Mechanics and its Applications
Author(s)
Amato Federico, Laib Mohamed, Guignard Fabian, Kanevski Mikhail
ISSN
0378-4371
Publication state
Published
Issued date
02/2020
Peer-reviewed
Oui
Pages
124391
Language
english
Keywords
Air pollution, Fisher information measure, Shannon entropy, Time series clustering, Complexity-invariant distance
OAI-PMH
oai:serval.unil.ch:BIB_459DBF315A81
DOI
10.1016/j.physa.2020.124391
Create date
02/03/2020 15:30
Last modification date
03/03/2020 7:19
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