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dc.contributor.authorBianco-Martinez, E.
dc.contributor.authorRubido Obrer, Nicolas
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.identifier65400202
dc.identifier18358c78-ec76-43c2-8f9b-9e03bab38748
dc.identifier84966699076
dc.identifier.citationBianco-Martinez , E , Rubido Obrer , 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 . https://doi.org/10.1063/1.4945420en
dc.identifier.issn1054-1500
dc.identifier.otherORCID: /0000-0002-0616-2479/work/23537277
dc.identifier.otherORCID: /0000-0002-0616-2479/work/23537277
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.extent9
dc.format.extent1246353
dc.format.extent1295499
dc.language.isoeng
dc.relation.ispartofChaosen
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.Applied Medicineen
dc.contributor.institutionUniversity of Aberdeen.NCS School Administrationen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.description.statusPeer revieweden
dc.identifier.doi10.1063/1.4945420
dc.date.embargoedUntil2017-04-12


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