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A new metric for probability distributions

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dc.contributor.authorEndres, Dominik Maria
dc.contributor.authorSchindelin, J E
dc.date.accessioned2010-12-02T14:00:22Z
dc.date.available2010-12-02T14:00:22Z
dc.date.issued2003-07
dc.identifier355615
dc.identifierf57e083d-d3f4-4f34-ab0b-4be870384c16
dc.identifier000183766000026
dc.identifier0038105161
dc.identifier.citationEndres , D M & Schindelin , J E 2003 , ' A new metric for probability distributions ' , IEEE Transactions on Information Theory , vol. 49 , no. 7 , pp. 1858- 1860 . https://doi.org/10.1109/TIT.2003.813506en
dc.identifier.issn0018-9448
dc.identifier.urihttps://hdl.handle.net/10023/1591
dc.description.abstractWe introduce a metric for probability distributions, which is bounded, information-theoretically motivated, and has a natural Bayesian interpretation. The square root of the well-known chi(2) distance is an asymptotic approximation to it. Moreover, it is a close relative of the capacitory discrimination and Jensen-Shannon divergence.
dc.format.extent3
dc.format.extent249662
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Information Theoryen
dc.subjectCapacitory discriminationen
dc.subjectChi(2) distanceen
dc.subjectJensen-Shannon divergenceen
dc.subjectMetricen
dc.subjectTriangle inequalityen
dc.subjectDiscriminationen
dc.subjectInformationen
dc.subjectDivergenceen
dc.subjectQA Mathematicsen
dc.subject.lccQAen
dc.titleA new metric for probability distributionsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.identifier.doi10.1109/TIT.2003.813506
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=0038105161&partnerID=8YFLogxKen
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1207388en


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