A Law of Ti~e Iterated Locarithm for Nonparametric Regression Function Estimators*
نویسنده
چکیده
to Summary: We prove a law of the iterated logarithm for nonparametric regression function estimators using strong approximations to the two dimensional empirical process. We consider the case of Nadaraya-Watson kernel estimators and of esti-mators based on orthogonal polynomials when the marginal density of the design variable X is unknown or known.
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