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dc.contributor.authorBianco-Martinez, E.
dc.contributor.authorRubido, N.
dc.contributor.authorAntonopoulos, Ch. G.
dc.contributor.authorBaptista, M. S.
dc.date.accessioned2016-04-22T10:00:14Z
dc.date.available2016-04-22T10:00:14Z
dc.date.issued2016-04
dc.identifier.citationBianco-Martinez , E , Rubido , N , Antonopoulos , C G & Baptista , M S 2016 , ' Successful network inference from time-series data using mutual information rate ' Chaos , vol. 26 , no. 4 , 043102 , pp. 1-9 . DOI: 10.1063/1.4945420en
dc.identifier.issn1054-1500
dc.identifier.otherPURE: 65400202
dc.identifier.otherPURE UUID: 18358c78-ec76-43c2-8f9b-9e03bab38748
dc.identifier.otherScopus: 84966699076
dc.identifier.urihttp://hdl.handle.net/2164/5894
dc.descriptionACKNOWLEDGMENTS E.B.M., M.S.B., and C.G.A. acknowledge the financial support provided by the EPSRC “EP/I032606/1” grant. C.G.A. contributed to this work while working at the University of Aberdeen and then, while working at the University of Essex, United Kingdom. N.R. acknowledges the support of PEDECIBA, Uruguayen
dc.format.extent9en
dc.language.isoeng
dc.relation.ispartofChaosen
dc.rightsOn the authors’ personal web page and employers’ web page: The right to: Post the Accepted Manuscript (AM) to their personal web page or their employer’s web page immediately after acceptance by AIP Publishing. Post the Version of Record (VOR) to their personal web page or their employer’s web page 12 months after publication by AIP Publishing. (An appropriate credit line must be included that references the full citation for the published paper, along with a link to the VOR after publication on AIP Publishing’s site.)en
dc.rightsOn the authors’ personal web page and employers’ web page: The right to: Post the Accepted Manuscript (AM) to their personal web page or their employer’s web page immediately after acceptance by AIP Publishing. Post the Version of Record (VOR) to their personal web page or their employer’s web page 12 months after publication by AIP Publishing. (An appropriate credit line must be included that references the full citation for the published paper, along with a link to the VOR after publication on AIP Publishing’s site.)en
dc.subjectQC Physicsen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/I032606/1en
dc.subject.lccQCen
dc.titleSuccessful network inference from time-series data using mutual information rateen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen, NCS School Administrationen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1063/1.4945420
dc.date.embargoedUntil12-04-20


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