Uniform in bandwidth consistency of kernel-type function estimators

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dc.creatorEinmahl, Uwe
dc.creatorMason, David M.
dc.date2005-07-21
dc.date.accessioned2026-07-07T08:07:05Z
dc.date.available2026-07-07T08:07:05Z
dc.descriptionWe introduce a general method to prove uniform in bandwidth consistency of kernel-type function estimators. Examples include the kernel density estimator, the Nadaraya-Watson regression estimator and the conditional empirical process. Our results may be useful to establish uniform consistency of data-driven bandwidth kernel-type function estimators.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053605000000129 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0507431
dc.identifierhttp://arxiv.org/abs/math/0507431
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 3, 1380-1403
dc.identifierdoi:10.1214/009053605000000129
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130824
dc.subjectStatistics Theory
dc.subject60F15, 62G07, 62G08 (Primary)
dc.titleUniform in bandwidth consistency of kernel-type function estimators
dc.typetext

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