Parameter-free quantification of stochastic and chaotic signals

Lopes, S.R.; Prado, T.L.; Corso, G.; dos S. Lima, G.Z.; Kurths, Jürgen

doi:10.1016/j.chaos.2020.109616

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Parameter-free quantification of stochastic and chaotic signals

Lopes, S., Prado, T., Corso, G., dos S. Lima, G., Kurths, J. (2020): Parameter-free quantification of stochastic and chaotic signals. - Chaos, Solitons and Fractals, 133, 109616.
https://doi.org/10.1016/j.chaos.2020.109616

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24173 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24173_4

Genre: Journal Article

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Creators:
Lopes, S.R.¹, Author
Prado, T.L.¹, Author
Corso, G.¹, Author
dos S. Lima, G.Z.¹, Author
Kurths, Jürgen², Author

Affiliations:
1External Organizations, ou_persistent22
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2020

Publication Status: Finally published

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.chaos.2020.109616
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: No data to archive
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Chaos, Solitons and Fractals

Source Genre: Journal, SCI, Scopus, p3

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Pages: - Volume / Issue: 133 Sequence Number: 109616 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190702
Publisher: Elsevier