On cross-validation in kernel and partit
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Harro Walk
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Article
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2002
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Elsevier Science
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English
โ 134 KB
The paper deals with the approximation of the best deterministic choice (minimizing mean integrated squared error) of the parameter in naive kernel and cubic partitioning regression estimation by cross-validation. The result is essentially distribution-free.