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Transformation-cost time-series method for analyzing irregularly sampled data

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dc.contributor.authorOzken, Ibrahim
dc.contributor.authorEroglu, Deniz
dc.contributor.authorStemler, Thomas
dc.contributor.authorMarwan, Norbert
dc.contributor.authorBagci, G. Baris
dc.contributor.authorKurths, Juergen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2015-11-13T14:34:02Z
dc.date.available2015-11-13T14:34:02Z
dc.date.issued2015-06-18
dc.descriptionACKNOWLEDGEMENTS We thank K.-H. Wyrwoll and F. McRobie from the School of Earth and Environment (UWA) for fruitful discussions. Moreover, we acknowledge for financial supports from TUBITAK under the 2214/A program (I.O.), from the Leibniz Association (WGL) under Grant No. SAW-2013-IZW-2542 (D.E.), as well as from the BMBF within the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability (PROGRESS) Support Code No. 03IS2191B (N.M.).en
dc.description.statusPeer revieweden
dc.format.extent8
dc.format.extent457994
dc.identifier57708258
dc.identifier584a854f-f25a-4b4d-8a12-90b611d0ec93
dc.identifier000356471700006
dc.identifier84936980847
dc.identifier.citationOzken, I, Eroglu, D, Stemler, T, Marwan, N, Bagci, G B & Kurths, J 2015, 'Transformation-cost time-series method for analyzing irregularly sampled data', Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 6, 062911. https://doi.org/10.1103/PhysRevE.91.062911en
dc.identifier.doi10.1103/PhysRevE.91.062911
dc.identifier.iss6en
dc.identifier.issn1539-3755
dc.identifier.urihttp://hdl.handle.net/2164/5200
dc.identifier.vol91en
dc.language.isoeng
dc.relation.ispartofPhysical Review. E, Statistical, Nonlinear and Soft Matter Physicsen
dc.subjectLast glacial perioden
dc.subjectrecurrence plotsen
dc.subjectsystemsen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleTransformation-cost time-series method for analyzing irregularly sampled dataen
dc.typeJournal articleen

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