Nonparametric density estimation from data with a mixture of Berkson and classical errors

DOI10.1002/cjs.5550350109zbMath1124.62018OpenAlexW1987201965MaRDI QIDQ5421213

Aurore Delaigle

Publication date: 22 October 2007

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

Full work available at URL: https://doi.org/10.1002/cjs.5550350109

zbMATH Keywords

smoothingkernel methoddeconvolutionbandwidth selectionerrors in variables

Mathematics Subject Classification ID

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

Related Items (10)

Nonparametric estimation of cumulative distribution function from noisy data in the presence of Berkson and classical errors ⋮ Estimating multivariate density and its derivatives for mixed measurement error data ⋮ Density estimation for circular data observed with errors ⋮ Nonparametric regression estimate with Berkson Laplace measurement error ⋮ Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems ⋮ Root-\(T\) consistent density estimation in GARCH models ⋮ Nonparametric Kernel Methods with Errors-in-Variables: Constructing Estimators, Computing them, and Avoiding Common Mistakes ⋮ Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models ⋮ Density deconvolution with small Berkson errors ⋮ Kernel density estimation with Berkson error

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• Are There Two Regressions?

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