Additive Regression Model for Continuous Time Processes

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dc.creatorDebbarh, Mohammed
dc.creatorMaillot, Bertrand
dc.date2007-06-08
dc.date.accessioned2026-07-07T08:04:38Z
dc.date.available2026-07-07T08:04:38Z
dc.descriptionIn the setting of additive regression model for continuous time process, we establish the optimal uniform convergence rates and optimal asymptotic quadratic error of additive regression. To build our estimate, we use the marginal integration method.
dc.description19 pages
dc.identifierhttps://arxiv.org/abs/0706.1154
dc.identifierhttp://arxiv.org/abs/0706.1154
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130039
dc.subjectStatistics Theory
dc.subjectProbability
dc.subjectApplications
dc.titleAdditive Regression Model for Continuous Time Processes
dc.typetext

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