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- W1989865324 abstract "Abstract In this paper we propose and study a new kernel regression estimator in which the kernel is taken from a properly adapted location-scale family of the design distribution. We show that, while the original smoothing may be performed with sub-optimal bandwidths, adaptation of proper scale parameters yields overall optimal estimators. Unlike traditional smoothing methodology, our approach does not aim at estimating pivotal higher order derivatives." @default.
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- W1989865324 date "2012-09-01" @default.
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- W1989865324 title "Kernel adjusted nonparametric regression" @default.
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- W1989865324 doi "https://doi.org/10.1016/j.jspi.2012.03.011" @default.
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