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dc.contributor.authorNovo Díaz, Silvia
dc.contributor.authorAneiros Pérez, Germán
dc.contributor.authorVieu, Philippe
dc.date.accessioned2018-10-09T15:54:25Z
dc.date.available2018-10-09T15:54:25Z
dc.date.issued2018-09-17
dc.identifier.citationNovo, S.; Aneiros, G.; Vieu, P. Sparse Semi-Functional Partial Linear Single-Index Regression. Proceedings 2018, 2, 1190.es_ES
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/21126
dc.descriptionTrátase dun resumo estendido da ponencia
dc.description.abstract[Abstract] The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure is employed for this task. Some properties of the resultant estimators are derived: the existence (and rate of convergence) of a consistent estimator for the parameters in the linear part and an oracle property for the variable selection method. Finally, a real data application illustrates the good performance of our procedure.es_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; MTM2014-52876-Res_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; MTM2017-82724-Res_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01 2016-2019es_ES
dc.description.sponsorshipXunta de Galicia; ED431C2016-015es_ES
dc.description.sponsorshipXunta de Galicia; ED481A-2018/191.es_ES
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2181190es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectFunctional data analysises_ES
dc.subjectVariable selectiones_ES
dc.subjectSparse modeles_ES
dc.subjectDimension reductiones_ES
dc.subjectFunctional single-index modeles_ES
dc.subjectSemiparametric modeles_ES
dc.titleSparse Semi-Functional Partial Linear Single-Index Regressiones_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedingses_ES
UDC.volume18es_ES
UDC.issue2es_ES
UDC.startPage1190es_ES
dc.identifier.doi10.3390/proceedings2181190
UDC.conferenceTitleProceedings XoveTIC Conference 2018es_ES


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