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dc.contributor.authorMonroy-Castillo, Blanca E.
dc.contributor.authorJácome, M. A.
dc.contributor.authorCao, Ricardo
dc.date.accessioned2023-11-13T16:43:43Z
dc.date.available2023-11-13T16:43:43Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/2183/34180
dc.descriptionCursos e Congresos, C-155es_ES
dc.description.abstract[Abstract] The notion of distance correlationwas introduced to measure the dependence between two random vectors, not necessarily of equal dimensions, in a multivariate setting. In their work, Sz´ekely et al. (2007) proposed an estimator for the squared distance covariance, and they also proved that this estimator is a V-statistic. On the other hand, Sz´ekely and Rizzo (2014) introduced an unbiased version of the squared sample distance covariance, which was subsequently identified as a U-statistic in Huo and Sz´ekely (2016). In this study, a simulation is conducted to compare both distance correlation estimators: the U-estimator and the V-estimator. The analysis assesses their efficiency (mean squared error) and contrasts the computational times of both approaches across various dependence structureses_ES
dc.description.sponsorshipCITIC is funded by the Xunta de Galicia through the collaboration agreement between the Conseller ´ıa de Cultura, Educaci´on, Formaci´on Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS)
dc.language.isoenges_ES
dc.publisherUniversidade da Coruña, Servizo de Publicaciónses_ES
dc.relation.urihttps://doi.org/10.17979/spudc.000024.29
dc.rightsAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es*
dc.subjectCorrelación de distanciaes_ES
dc.subjectVectores aleatorioses_ES
dc.titleEstimation of Distance Correlation: a Simulation-based Comparative Studyes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage183es_ES
UDC.endPage189es_ES
UDC.conferenceTitleVI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruñaes_ES


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