Distribution-free consistency of kernel non-parametric M-estimators.

DOI10.1016/S0167-7152(02)00106-2zbMath1092.62521OpenAlexW2046704541WikidataQ118592571 ScholiaQ118592571MaRDI QIDQ1871237

Mirosław Pawlak, Andrzej S. Kozek

Publication date: 7 May 2003

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

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00106-2

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (2)

On \(M\)-estimators and normal quantiles. ⋮ Bahadur representation for the nonparametricM-estimator under α-mixing dependence

Cites Work

• Distribution-free pointwise consistency of kernel regression estimate
• Robust nonparametric regression with simultaneous scale curve estimation
• Strong uniform consistency rates for estimators of conditional functionals
• Adaptive \(M\)-estimation in nonparametric regression
• Consistent nonparametric regression. Discussion
• Robust nonparametric regression estimation
• On a universal strong law of large numbers for conditional expectations
• On the strong universal consistency of a recursive regression estimate by Pál Révész
• On the strong universal consistency of nearest neighbor regression function estimates
• Survey of Measurable Selection Theorems
• Robust Estimation of a Location Parameter
• Convex Analysis
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