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dc.contributor.authorAgulló Antolín, Marina
dc.contributor.authorCuesta Albertos, Juan Antonio
dc.contributor.authorLescornel, Hélène
dc.contributor.authorLoubes, Jean-Michel
dc.date.accessioned2016-12-16T13:42:51Z
dc.date.available2016-12-16T13:42:51Z
dc.date.issued2015
dc.identifier.citationJournal of Multivariate Analysis, 2015, vol. 135, p. 117-130es
dc.identifier.issn0047-259Xes
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/21813
dc.descriptionProducción Científicaes
dc.description.abstractWe consider a parametric deformation model for distributions. More precisely, we assume we observe J samples of random variables which are warped from an unknown distribution template. We tackle in this paper the problem of estimating the individual deformation parameters. For this, we construct a registering criterion based on the Wasserstein distance to quantify the alignment of the distributions. We prove consistency of the empirical estimators.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectWasserstein distancees
dc.titleA parametric registration model for warped distributions with Wasserstein’s distance.es
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.jmva.2014.12.005es
dc.relation.publisherversionhttp://www.journals.elsevier.com/journal-of-multivariate-analysis/es
dc.identifier.publicationtitleJournal of Multivariate Analysises
dc.peerreviewedSIes
dc.description.projectJunta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA212U13)es
dc.description.projectMinisterio de Economía, Industria y Competitividad (MTM2011-28657-C02-01)es
dc.description.projectMinisterio de Economía, Industria y Competitividad (TM2011-28657-C02-02)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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