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  Challenges and perspectives in recurrence analyses of event time series

Marwan, N. (2023): Challenges and perspectives in recurrence analyses of event time series. - Frontiers in Applied Mathematics and Statistics, 9, 1129105.
https://doi.org/10.3389/fams.2023.1129105

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_28346 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_28346_2
Genre: Journal Article

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 Creators:
Marwan, Norbert1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The analysis of event time series is in general challenging. Most time series analysis tools are limited for the analysis of this kind of data. Recurrence analysis, a powerful concept from nonlinear time series analysis, provides several opportunities to work with event data and even for the most challenging task of comparing event time series with continuous time series. Here, the basic concept is introduced, the challenges are discussed, and the future perspectives are summarized.

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Language(s): eng - English
 Dates: 2023-03-092023-03-09
 Publication Status: Finally published
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fams.2023.1129105
MDB-ID: yes - 3410
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Extremes
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
 Degree: -

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Title: Frontiers in Applied Mathematics and Statistics
Source Genre: Journal, Scopus, oa
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Pages: - Volume / Issue: 9 Sequence Number: 1129105 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/frontiers-applied-mathematics_statistics
Publisher: Frontiers