Multi bandwidth kernel estimators for nonparametric deconvolution problems: asymptotics and finite sample performance

DOI10.1080/10485250008832845zbMath0960.62040OpenAlexW2019206897MaRDI QIDQ4526146

Hae-Won Uh, A. J. van Es

Publication date: 17 May 2001

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250008832845

zbMATH Keywords

kernel estimatorsdeconvolutionintegrated squared error

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Iterative density estimation from contaminated observations

Cites Work

• Unnamed Item
• On the optimal rates of convergence for nonparametric deconvolution problems
• Exact mean integrated squared error
• Simple kernel estimators for certain nonparametric deconvolution problems
• Finite sample performance of deconvolving density estimators
• A Consistent Estimator of a Component of a Convolution
• Optimal Rates of Convergence for Deconvolving a Density
• Gaussian deconvolution via differentiation
• Some Errors Associated with the Non-parametric Estimation of Density Functions

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