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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorBERCU, Bernard
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorMONG NGOC NGUYEN, Thi
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorSARACCO, Jérôme
dc.date.created2012
dc.date.issued2014
dc.identifier.issn0233-1888
dc.description.abstractEnWe investigate the asymptotic behavior of the Nadaraya-Watson estimator for the estimation of the regression function in a semiparametric regression model. On the one hand, we make use of the recursive version of the sliced inverse regression method for the estimation of the unknown parameter of the model. On the other hand, we implement a recursive Nadaraya-Watson procedure for the estimation of the regression function which takes into account the previous estimation of the parameter of the semiparametric regression model. We establish the almost sure convergence as well as the asymptotic normality for our Nadaraya-Watson estimator. We also illustrate our semiparametric estimation procedure on simulated data.
dc.language.isoen
dc.publisherTaylor & Francis: STM, Behavioural Science and Public Health Titles
dc.subject.enSemi-parametric regression
dc.subject.enrecursive estimation
dc.subject.enNadaraya-Watson estimator
dc.subject.enSliced inversion regression
dc.title.enOn the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.journalStatistics
bordeaux.page17
bordeaux.peerReviewedoui
hal.identifierhal-00673832
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00673832v1
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