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A Bias Correction for Cross-validation Bandwidth Selection when a Kernel Estimate is Based on Dependent Data

โœ Scribed by Martin Skold


Book ID
108549472
Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
248 KB
Volume
22
Category
Article
ISSN
0143-9782

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โœ Colin O. Wu ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 376 KB

This paper studies the risks and bandwidth choices of a kernel estimate of the underlying density when the data are obtained from s independent biased samples. The main results of this paper give the asymptotic representation of the integrated squared errors and the mean integrated squared errors of