Kernel Density Gradient Estimate

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Authors	HOROVÁ Ivanka VOPATOVÁ Kamila
Year of publication	2011
Type	Article in Proceedings
Conference	Recent Advances in Functional Data Analysis and Related Topics
MU Faculty or unit	Faculty of Science
Citation
web	read on-line
Field	Applied statistics, operation research
Keywords	Kernel; bandwidth matrix; gradient estimator
Description	The aim of this contribution is to develop a method for a bandwidth matrix choice for kernel estimate of the first partial derivatives of the unknown density.
Related projects:	Jaroslav Hájek Center for Theoretical and Applied Statistics