Kernel distribution density estimation based on cross-validation

Kernel distribution density estimation based on cross-validation

The kernel density estimation procedure is proposed. Parameter selection method based on cross-validation technique is analyzed. The results of investigation by simulation means are discussed.

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Bibliographic Details
Main Author:	Mindaugas Kavaliauskas
Format:	Article
Language:	English
Published:	Vilnius University Press 2000-12-01
Series:	Lietuvos Matematikos Rinkinys
Online Access:	https://www.zurnalai.vu.lt/LMR/article/view/35166
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