AN EFFICIENT ALGORITHM FOR THE NONPARAMETRIC REGRESSION ESTIMATION

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概要

• 論文の詳細を見る

• Most bandwidth selectors in nonparametric kernel regression estimation are based on minimization of some function of h, which is related to the resubstitution estimate of the prediction error. But this method consumes large amounts of computer time. This article concerns an efficient computational algorithm for this method when the kernel is symmetric and polynomial functions.

• 日本計算機統計学会の論文

著者

• Kim Byung

  Korea Advanced Institute Of Science And Technology

• Lee Byung

  Korea Advanced Institute Of Science And Technology

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