A note on asymptotic normality of convergent estimates of the conditional mode with errors-in-variables

DOI10.1080/10485250310001622631zbMath1076.62032OpenAlexW2090034264MaRDI QIDQ4831090

Eric Matzner-Løber, Dimitris Ioannides

Publication date: 20 December 2004

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

Full work available at URL: https://doi.org/10.1080/10485250310001622631

zbMATH Keywords

deconvolutionconditional densitymeasurement errors

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

• Strong consistency and rates for deconvolution of multivariate densities of stationary processes
• On the optimal rates of convergence for nonparametric deconvolution problems
• Nonparametric regression with errors in variables and applications
• Deconvolving kernel density estimators
• Moment inequalities for mixing sequences of random variables
• Normalité asymptotique d'estimateurs convergents du mode conditionnel
• Nonparametric Estimation of the Conditional Mode with Errors-In-Variables: Strong Consistency for Mixing Processes

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