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Nearest neighbor smoothing in linear regression

✍ Scribed by Winfried Stute; Wenceslao González Manteiga


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
501 KB
Volume
34
Category
Article
ISSN
0047-259X

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This paper deals with nonparametric regression estimation under arbitrary sampling with an unknown distribution. The effect of the distribution of the design, which is a nuisance parameter, can be eliminated by conditioning. An upper bound for the conditional mean squared error of k&NN estimates lea