Bandwidth choice for nonparametric regression. (English) Zbl 0554.62035

A modified version of a kernel regression estimator is analyzed with respect to choice of bandwidth. The modification consists of replacing the kernel estimate by a tapered Fourier series estimate which simplifies some technical arguments.
It is shown that the bandwidth chosen based on an unbiased estimate of mean square error is asymptotically optimal. Several other methods of bandwidth selection, including cross-validation, are examined and shown to be asymptotically equivalent. However, some simulation results indicate that for small or moderate sample sizes the methods are quite different.
Reviewer: W.J.Padgett


62G05 Nonparametric estimation
62J02 General nonlinear regression
62G99 Nonparametric inference
62J99 Linear inference, regression
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