Deconvolution boundary kernel method in nonparametric density estimation
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference23 articles.
1. Choosing the smoothing parameter in a Fourier approach to nonparametric deconvolution of a density estimate;Barry;J. Nonparametric Statist.,1995
2. Optimal rates of convergence for deconvolving a density;Carroll;J. Amer. Statist. Assoc.,1988
3. Estimation of integrated squared density derivatives from a contaminated sample;Delaigle;J. Roy. Statist. Soc. Ser. B,2002
4. Comparison on data-driven bandwidth selection procedures in deconvolution kernel density estimation;Delaigle;Comput. Statist. Data Anal.,2003
5. Consistent deconvolution in density estimation;Devroye;Canad. J. Statist.,1989
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