Publication details
Bandwidth matrix selectors for multivariate kernel density estimation
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Year of publication | 2012 |
MU Faculty or unit | |
Citation | |
Description | The most important factor in multivariatte kernel density estimation is a choice of a bandwidth matrix. A method for data driven selectors of full bandwidth matrice is proposed. |