scientific article; zbMATH DE number 1143941

zbMath0895.62045MaRDI QIDQ4384069

Yanjun Liu, Yanqin Fan

Publication date: 20 April 1998

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

asymptotic normalitydeconvolutionkernel density estimatorsordinary smooth errors

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05)

Related Items (10)

Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors ⋮ Deconvolution of \(P(X<Y)\) with supersmooth error distributions ⋮ Deconvolution for an atomic distribution ⋮ Moderate deviations for some nonparametric estimators with errors in variables ⋮ A uniform central limit theorem and efficiency for deconvolution estimators ⋮ On the performance of weighted bootstrapped kernel deconvolution density estimators ⋮ On the adaptive wavelet deconvolution of a density for strong mixing sequences ⋮ Weak convergence of the supremum distance for supersmooth kernel deconvolution ⋮ A review of uncertainty quantification for density estimation ⋮ Consistency and asymptotic normality for a nonparametric prediction under measurement errors

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