Simple kernel estimators for certain nonparametric deconvolution problems

DOI10.1016/S0167-7152(98)00054-6zbMath0947.62031OpenAlexW2020170712MaRDI QIDQ1265954

A. J. van Es, A. R. Kok

Publication date: 15 December 1998

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(98)00054-6

zbMATH Keywords

kernel estimatorsdeconvolution

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (10)

Multi bandwidth kernel estimators for nonparametric deconvolution problems: asymptotics and finite sample performance ⋮ Asymptotic normality of nonparametric kernel type deconvolution density estimators: crossing the Cauchy boundary ⋮ Density testing in a contaminated sample ⋮ Bivariate uniform deconvolution ⋮ On the performance of weighted bootstrapped kernel deconvolution density estimators ⋮ Weak convergence of the supremum distance for supersmooth kernel deconvolution ⋮ Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems ⋮ Asymptotic Normality of Kernel-Type Deconvolution Estimators ⋮ Combining kernel estimators in the uniform deconvolution problem ⋮ Isotonic inverse estimators for nonparametric deconvolution

Cites Work

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• On the optimal rates of convergence for nonparametric deconvolution problems
• Asymptotic normality for deconvolution estimators of multivariate densities of stationary processes
• A Consistent Estimator of a Component of a Convolution
• Optimal Rates of Convergence for Deconvolving a Density
• Gaussian deconvolution via differentiation
• Distribution Functions Containing a Gaussian Factor

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