Conditional mode regression: Application to functional time series prediction

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dc.creatorDabo-Niang, Sophie
dc.creatorLaksaci, Ali
dc.date2008-12-29
dc.date.accessioned2026-07-07T12:23:00Z
dc.date.available2026-07-07T12:23:00Z
dc.descriptionWe consider $α$-mixing observations and deal with the estimation of the conditional mode of a scalar response variable $Y$ given a random variable $X$ taking values in a semi-metric space. We provide a convergence rate in $L^p$ norm of the estimator. A useful and typical application to functional times series prediction is given.
dc.descriptionSubmitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0812.4882
dc.identifierhttp://arxiv.org/abs/0812.4882
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213846
dc.subjectApplications
dc.subject62G05, 62G08 (Primary) 62G20 (Secondary)
dc.titleConditional mode regression: Application to functional time series prediction
dc.typetext

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