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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/62284
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dc.contributor.authorTran H.D.-
dc.contributor.otherPham U.H.-
dc.contributor.otherLy S.-
dc.contributor.otherVo-Duy T.-
dc.date.accessioned2021-09-05T02:41:54Z-
dc.date.available2021-09-05T02:41:54Z-
dc.date.issued2015-
dc.identifier.isbn9783319251356-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/62284-
dc.description.abstractDependence structure, e.g. measures of dependence, is one of the main studies in correlation analysis. In [10], B. Schweizer and E.F. Wolff used Lp-metric dLp (C, P) to obtain a measure of monotone dependence where P is the product copula or independent copula, and in [11] P. A. Stoimenov defined Sobolev metric ω(C, P) to construct the measure ?(C) for a class of Mutual Complete Dependences (MCDs). Due to the fact that the class of monotone dependence is contained in the class of MCDs, we constructed a new measure of monotone dependence, λ(C), based on Sobolev metric which can be used to characterize comonotonic, countermonotonic and independence.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherSpringer Verlag-
dc.relation.ispartofIntegrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science-
dc.relation.ispartofseriesVol. 9376-
dc.rightsSpringer International Publishing Switzerland 2015-
dc.subjectCopulasen
dc.subjectMeasures of dependenceen
dc.subjectMonotone dependenceen
dc.subjectSobolev metricen
dc.titleA new measure of monotone dependence by using Sobolev norms for copulaen
dc.typeConference Paperen
dc.identifier.doihttps://doi.org/10.1007/978-3-319-25135-6_13-
dc.format.firstpage126-
dc.format.lastpage137-
item.languageiso639-1en-
item.fulltextOnly abstracts-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Conference Papers
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