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Kernel Density Gradient Estimate

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Recent Advances in Functional Data Analysis and Related Topics

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The aim of this contribution is to develop a method for a bandwidthmatrix choice for kernel estimate of the first partial derivatives of the unknown density.

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References

  1. Chac´on, J.E., Duong, T., Wand, M.P.: Asymptotics for general multivariate kernel density derivative estimators, Research Online (2009)

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  6. Vopatov´a, K., Horov´a, I., Kol´aˇcek, J.: Bandwidth Matrix Choice for Bivariate Kernel Density Derivative. Proceedings of the 25th International Workshop on Statistical Modelling (Glasgow, UK), 561–564 (2010)

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Correspondence to Ivana Horová .

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© 2011 Springer-Verlag Berlin Heidelberg

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Horová, I., Vopatová, K. (2011). Kernel Density Gradient Estimate. In: Ferraty, F. (eds) Recent Advances in Functional Data Analysis and Related Topics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2736-1_27

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