On the almost everywhere properties of the kernel regression estimate
type: Item
instance of: scholarly article
title: On the almost everywhere properties of the kernel regression estimate
zbMATH Open document ID: 0782.62047
DOI: 10.1007/BF00118638
author: M. Pawlak
published in: Annals of the Institute of Statistical Mathematics
publication date: 1993-04-01T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 150267
zbMATH Keywords: kernel regression estimate
zbMATH Keywords: second order asymptotic expansions
zbMATH Keywords: asymptotic distribution-free normality
zbMATH Keywords: bandwidth-selection rule
zbMATH Keywords: bias adjustment
Wikidata QID: Q118592627
MaRDI profile type: Publication
cites work: Distribution function inequalities for martingales
cites work: Q4153934
cites work: Nonparametric regression: An up–to–date bibliography
cites work: On the almost everywhere convergence of nonparametric regression function estimates
cites work: Distribution-free consistency results in nonparametric discrimination and regression function estimation
cites work: Fourier and Hermite series estimates of regression functions
cites work: Necessary and sufficient consistency conditions for a recursive kernel regression estimate
cites work: Distribution-free pointwise consistency of kernel regression estimate
cites work: Asymptotic properties of integrated square error and cross-validation for kernel estimation of a regression function
cites work: On the minimization of absolute distance in kernel density estimation
cites work: Minimizing \(L_ 1\) distance in nonparametric density estimation
cites work: Optimal bandwidth selection in nonparametric regression function estimation
cites work: Robust nonparametric regression with simultaneous scale curve estimation
cites work: Strong uniform consistency rates for estimators of conditional functionals
cites work: Distribution-free consistency of a nonparametric kernel regression estimate and classification
cites work: The pointwise rate of convergence of the kernel regression estimate
cites work: Local Properties of k-NN Regression Estimates
cites work: Adaptive nonparametric estimation of a multivariate regression function
cites work: Weak and strong uniform consistency of kernel regression estimates
cites work: Q5509408
cites work: Q3330303
cites work: On the subspaces of \(L^p\) \((p > 2)\) spanned by sequences of independent random variables
cites work: Joint Asymptotic Distribution of the Estimated Regression Function at a Finite Number of Distinct Points
cites work: Consistent window estimation in nonparametric regression
cites work: Consistent nonparametric regression. Discussion
cites work: Asymptotic normality of nearest neighbor regression function estimates
cites work: On the Choice of the Bandwidth in Kernel Nonparametric Regression
cites work: Mean integrated squared error of kernel estimators when the density and its derivative are not necessarily continuous
cites work: Q5510038
cites work: Q4135799
cites work: Strong convergence of kernel estimates of nonparametric regression functions
description: scientific article; zbMATH DE number 150267