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Optimal designs for nonparametric kernel regression

✍ Scribed by Hans-Georg Müller


Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
333 KB
Volume
2
Category
Article
ISSN
0167-7152

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Nonparametric Regression with Singular D
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Theories of nonparametric regression are usually based on the assumption that the design density exists. However, in some applications such as those involving high-dimensional or chaotic time series data, the design measure may be singular and may be likely to have a fractal (nonintegral) dimension.