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On the estimation of functional random effects

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorDurbán Reguera, María Luz
dc.contributor.authorAguilera Morillo, María del Carmen
dc.date.accessioned2021-06-25T09:35:59Z
dc.date.available2021-06-25T09:35:59Z
dc.date.issued2017-02-01
dc.description.abstractFunctional regression modelling has become one of the most vibrant areas of research in the last years. This discussion provides some alternative approaches to one of the key issues of functional data analysis: the basis representation of curves, and in particular, of functional random effects. First, we propose the estimation of functional principal components by penalizing the norm, and as an alternative, we provide an efficient and unified approach based on B-spline basis and quadratic penalties.en
dc.format.extent9
dc.identifier.bibliographicCitationDurban, M. & Aguilera-Morillo, M. C. (2017). On the estimation of functional random effects. Statistical Modelling, 17(1–2), pp. 50–58.en
dc.identifier.doihttps://doi.org/10.1177/1471082X16681333
dc.identifier.issn1471-082X
dc.identifier.publicationfirstpage50
dc.identifier.publicationissue1-2
dc.identifier.publicationlastpage58
dc.identifier.publicationtitleStatistical Modellingen
dc.identifier.publicationvolume17
dc.identifier.urihttps://hdl.handle.net/10016/32934
dc.identifier.uxxiAR/0000019572
dc.language.isoeng
dc.publisherSAGE
dc.rights© The authors, 2017. Reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaEstadísticaes
dc.subject.otherFunctional PCAen
dc.subject.otherSubject-specific curvesen
dc.subject.otherIdentifiabilityen
dc.subject.otherSOP algorithmen
dc.titleOn the estimation of functional random effectsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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