Publication details

Bandwidth matrix selectors for multivariate kernel density estimation

Authors

HASILOVÁ Kamila HOROVÁ Ivanka KOLÁČEK Jan

Year of publication 2014
Type Chapter of a book
MU Faculty or unit

Faculty of Science

Citation
Description Multivariate kernel density estimators have become a common tool for empirical studies. These estimators depend on the choice of a crucial parameter -- the bandwidth matrix. In this paper, we propose an extension of the iterative method for finding the bandwidth matrix not only for density estimation but also for estimating its derivatives. This procedure is illustrated by a simulation study and two real data sets.

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