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@inproceedings{943496, author = {Horová, Ivanka and Vopatová, Kamila}, address = {Heidelberg}, booktitle = {Recent Advances in Functional Data Analysis and Related Topics}, editor = {Frederic Ferraty}, keywords = {Kernel; bandwidth matrix; gradient estimator}, language = {eng}, location = {Heidelberg}, isbn = {978-3-7908-2735-4}, pages = {177-182}, publisher = {Physica Verlag}, title = {Kernel Density Gradient Estimate}, url = {http://www.springer.com/statistics/book/978-3-7908-2735-4}, year = {2011} }
TY - JOUR ID - 943496 AU - Horová, Ivanka - Vopatová, Kamila PY - 2011 TI - Kernel Density Gradient Estimate PB - Physica Verlag CY - Heidelberg SN - 9783790827354 KW - Kernel KW - bandwidth matrix KW - gradient estimator UR - http://www.springer.com/statistics/book/978-3-7908-2735-4 L2 - http://www.springer.com/statistics/book/978-3-7908-2735-4 N2 - 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. ER -
HOROVÁ, Ivanka and Kamila VOPATOVÁ. Kernel Density Gradient Estimate. In Frederic Ferraty. \textit{Recent Advances in Functional Data Analysis and Related Topics}. Heidelberg: Physica Verlag, 2011, p.~177-182. ISBN~978-3-7908-2735-4.
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