• Treffer 2 von 309
Zurück zur Trefferliste

Abrupt transitions in time series with uncertainties

  • Identifying abrupt transitions is a key question in various disciplines. Existing transition detection methods, however, do not rigorously account for time series uncertainties, often neglecting them altogether or assuming them to be independent and qualitatively similar. Here, we introduce a novel approach suited to handle uncertainties by representing the time series as a time-ordered sequence of probability density functions. We show how to detect abrupt transitions in such a sequence using the community structure of networks representing probabilities of recurrence. Using our approach, we detect transitions in global stock indices related to well-known periods of politico-economic volatility. We further uncover transitions in the El Niño-Southern Oscillation which coincide with periods of phase locking with the Pacific Decadal Oscillation. Finally, we provide for the first time an ‘uncertainty-aware’ framework which validates the hypothesis that ice-rafting events in the North Atlantic during the Holocene were synchronous with aIdentifying abrupt transitions is a key question in various disciplines. Existing transition detection methods, however, do not rigorously account for time series uncertainties, often neglecting them altogether or assuming them to be independent and qualitatively similar. Here, we introduce a novel approach suited to handle uncertainties by representing the time series as a time-ordered sequence of probability density functions. We show how to detect abrupt transitions in such a sequence using the community structure of networks representing probabilities of recurrence. Using our approach, we detect transitions in global stock indices related to well-known periods of politico-economic volatility. We further uncover transitions in the El Niño-Southern Oscillation which coincide with periods of phase locking with the Pacific Decadal Oscillation. Finally, we provide for the first time an ‘uncertainty-aware’ framework which validates the hypothesis that ice-rafting events in the North Atlantic during the Holocene were synchronous with a weakened Asian summer monsoon.zeige mehrzeige weniger

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Verfasserangaben:Bedartha GoswamiORCiDGND, Niklas BoersORCiDGND, Aljoscha RheinwaltORCiDGND, Norbert MarwanORCiDGND, Jobst HeitzigORCiDGND, Sebastian Franz Martin BreitenbachORCiDGND, Jürgen KurthsORCiDGND
DOI:https://doi.org/10.1038/s41467-017-02456-6
ISSN:2041-1723
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/29298987
Titel des übergeordneten Werks (Englisch):Nature Communications
Verlag:Nature Publ. Group
Verlagsort:London
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:03.01.2018
Erscheinungsjahr:2018
Datum der Freischaltung:16.02.2022
Band:9
Seitenanzahl:10
Fördernde Institution:DFG/FAPESP [IRTG 1740/TRP 2011/50151-0]; DFG project IUCLiDGerman Research Foundation (DFG) [DFG MA4759/8]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; German Federal Ministry for Education and ResearchFederal Ministry of Education & Research (BMBF); DFGGerman Research Foundation (DFG); Government of the Russian Federation [14.Z50.31.0033]; European Unions Horizon Research and Innovation programme under the Marie Sklodowska-Curie grantEuropean Union (EU) [691037]; MWFK Brandenburg
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access / Gold Open-Access
DOAJ gelistet
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Externe Anmerkung:Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 576
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.