Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, CERIM - Santé publique : épidémiologie et qualité des soins-EA 2694, Polytech Lille, Université de Lille 1, IUT’A
Abstract : A non-parametric level set estimator of the density of a stationary d-dimensional spatial process is proposed. The estimator is deduced from a non-parametric kernel density estimator. Berry-Esseen bounds are established and used to give consistency results of the kernel level set estimation, derived from that of the kernel density estimate under some mild conditions.
https://hal.inria.fr/hal-01206787
Contributeur : Sophie Dabo-Niang
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Soumis le : mardi 29 septembre 2015 - 15:57:53
Dernière modification le : jeudi 2 août 2018 - 16:42:01
