Uniform-in-Bandwidth Nearest-Neighbor Density Estimation

We present a new sharp uniform-in-bandwidth limit law for the nearest-neighbor density estimator. Our result is established in the framework of convergence in probability, and we allow the bandwidth to vary within the complete range for which the estimator is consistent. We provide the explicit value of the asymptotic limiting constant for the sup-norm of the estimator's random error.

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Field Value
Source https://hal.science/hal-00766606
Author Ouadah, Sarah
Maintainer CCSD
Last Updated May 30, 2026, 10:51 (UTC)
Created May 30, 2026, 10:51 (UTC)
Identifier hal-00766606
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Statistique Théorique et Appliquée (LSTA) ; Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
creator Ouadah, Sarah
date 2012-09-10T00:00:00
harvest_object_id 5ffe3fea-230b-49fd-8f95-6fafc3200517
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
set_spec type:UNDEFINED