Abstract
The issue of selection of bandwidth in kernel smoothing method is considered within the context of partially linear models. In this paper, we study the asymptotic behavior of the bandwidth choice based on generalized cross-validation (GCV) approach and prove that this bandwidth choice is asymptotically optimal. Numerical simulation are also conducted to investigate the empirical performance of generalized cross-validation.
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