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CONVERGENCE OF NON-LINEAR FUNCTIONALS OF SMOOTHED EMPIRICAL PROCESSES AND KERNEL DENSITY ESTIMATES 

Authors: Corinne Berzin a;  Joseacute Leoacuten b; Joaquiacuten Ortega c
Affiliations:   a Universiteacute Pierre Mendeacutes-France Grenoble France Corinne.Berzin@upmf-grenoble.fr.
b Universidad Central de Venezuela Caracas Venezuela jleon@euler.ciens.ucv.ve.
c Instituto Venezolano de Investigaciones Cientiacuteficas and U.C.V. Caracas Venezuela.
DOI: 10.1080/02331880290015440
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 37, Issue 3 May 2003 , pages 217 - 242
Formats available: PDF (English)
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Abstract

We consider regularizations by convolution of the empirical process and study the asymptotic behaviour of non-linear functionals of this process. Using a result for the same type of non-linear functionals of the Brownian bridge, shown in a previous paper [4], and a strong approximation theorem, we prove several results for the p-deviation in estimation of the derivatives of the density. We also study the asymptotic behaviour of the number of crossings of the smoothed empirical process defined by Yukich [17] and of a modified version of the Kullback deviation.
Keywords: Non-linear Functionals; Empirical Process; Kernel Density Estimation; Crossings; Kullback-Leibler Deviation; Regularization By Convolution
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