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                                       Details for article 2 of 17 found articles
 
 
  An efficient cross-validation algorithm for window width selection for nonparametric kernel regression
 
 
Title: An efficient cross-validation algorithm for window width selection for nonparametric kernel regression
Author: Racine, Jeff
Appeared in: Communications in statistics
Paging: Volume 22 (1993) nr. 4 pages 1107-1114
Year: 1993
Contents: This paper presents an approach to cross-validated window width choice which greatly reduces computation time, which can be used regardless of the nature of the kernel function, and which avoids the use of the Fast Fourier Transform. This approach is developed for window width selection in the context of kernel estimation of an unknown conditional mean.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 17 found articles
 
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