A law of the iterated logarithm for kernel estimators of regression functions

DOI10.1007/BF01193053zbMath0767.60027MaRDI QIDQ1203916

Theo Gasser, Zhao-Guo Chen

Publication date: 10 March 1993

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

zbMATH Keywords

kernel estimationlaw of iterated logarithm

Mathematics Subject Classification ID

Strong limit theorems (60F15) Asymptotic properties of parametric tests (62F05)

Cites Work

• An extension of Lai and Wei's law of the iterated logarithm with applications to time series analysis and regression
• A law of the iterated logarithm for nonparametric regression function estimators
• A law of the iterated logarithm for double arrays of independent random variables with applications to regression and time series models
• The choice of weights in kernel regression estimation
• A Unifying Approach to Nonparametric Regression Estimation
• Nonparametric estimation of a regression function
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