Engineering
7 years ago

Automatic Bandwidth Selection for Smoother Comparisons in Nonparametric Regression.

Kernel Estimation of the Regression Function - BandwidthSelection
Jan Koláček

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The article discusses how to choose the right amount of smoothing in nonparametric regression using kernel estimation. By automatically selecting the bandwidth, researchers can compare results more easily. Different methods for choosing the smoothing parameter are presented to minimize errors. The study summarizes results in this area and shows how they can be applied to simulated data sets.