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Fast Algorithm for Impact Point Selection in Semiparametric Functional Models
dc.contributor.author | Novo Díaz, Silvia | |
dc.contributor.author | Aneiros Pérez, Germán | |
dc.contributor.author | Vieu, Philippe | |
dc.date.accessioned | 2019-08-27T08:14:55Z | |
dc.date.available | 2019-08-27T08:14:55Z | |
dc.date.issued | 2019-07-31 | |
dc.identifier.citation | NOVO, Silvia; ANEIROS, Germán; VIEU, Philippe. Fast Algorithm for Impact Point Selection in Semiparametric Functional Models. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 14. | es_ES |
dc.identifier.issn | 2504-3900 | |
dc.identifier.uri | http://hdl.handle.net/2183/23863 | |
dc.description.abstract | [Abstract] A new sparse semiparametric functional model is proposed, which tries to incorporate the influence of two functional variables in a scalar response in a quite simple and interpretable way. One of the functional variables is included trough a single-index structure and the other one linearly, but trough the high-dimensional vector of its discretized observations. For this model, a new algorithm for impact point selection in the linear part and for the model estimation is proposed. This procedure is based on the functional origin of the linear covariates. Some asymptotic results will ensure the good performance of the method. The computational efficiency of the algorithm, without loss of predictive power, will be showed trough a simulation study and a real data application, by comparing its results with those obtained trough the standard PLS method. | es_ES |
dc.description.sponsorship | Ministerio de Economía y Competitividad; MTM2014-52876-R | es_ES |
dc.description.sponsorship | Ministerio de Economía y Competitividad; MTM2017-82724-R | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 2016-2019 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C2016-015 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481A-2018/191 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | M D P I AG | es_ES |
dc.relation.uri | https://doi.org/10.3390/proceedings2019021014 | es_ES |
dc.rights | Atribución 4.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | * |
dc.subject | Functional data analysis | es_ES |
dc.subject | Multi-functional covariates | es_ES |
dc.subject | Dimension reduction | es_ES |
dc.subject | Variable selection | es_ES |
dc.subject | Functional single-index model | es_ES |
dc.subject | Semiparametric model | es_ES |
dc.title | Fast Algorithm for Impact Point Selection in Semiparametric Functional Models | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceedings | es_ES |
UDC.volume | 21 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 14 | es_ES |
dc.identifier.doi | 10.3390/proceedings2019021014 | |
UDC.conferenceTitle | 2nd XoveTIC Conference, A Coruña, Spain, 5–6 September 2019. | es_ES |