A law of the iterated logarithm for kernel estimators of regression functions
type: Item
instance of: scholarly article
title: A law of the iterated logarithm for kernel estimators of regression functions
zbMATH Open document ID: 0767.60027
DOI: 10.1007/BF01193053
author: Zhao-Guo Chen
author: Theo Gasser
publication date: 1993-03-10T00:00:00Z
Mathematics Subject Classification ID: 60F15
Mathematics Subject Classification ID: 62F05
zbMATH DE Number: 123697
zbMATH Keywords: kernel estimation
zbMATH Keywords: law of iterated logarithm
MaRDI profile type: Publication
cites work: Nonparametric estimation of a regression function
cites work: An extension of Lai and Wei's law of the iterated logarithm with applications to time series analysis and regression
cites work: The choice of weights in kernel regression estimation
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cites work: A law of the iterated logarithm for nonparametric regression function estimators
cites work: A Unifying Approach to Nonparametric Regression Estimation
cites work: A law of the iterated logarithm for double arrays of independent random variables with applications to regression and time series models
published in: Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete
description: scientific article; zbMATH DE number 123697