Kernel distribution density estimation based on cross-validation

Mindaugas Kavaliauskas

doi:10.15388/LMR.2000.35166

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Mindaugas Kavaliauskas

Institute of Mathematics and Informatics

Published 2000-12-18

https://doi.org/10.15388/LMR.2000.35166

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How to Cite

Kavaliauskas, M. (2000) “Kernel distribution density estimation based on cross-validation”, Lietuvos matematikos rinkinys, 40(spec.), pp. 290–295. doi:10.15388/LMR.2000.35166.

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Abstract

The kernel density estimation procedure is proposed. Parameter selection method based on cross-validation technique is analyzed. The results of investigation by simulation means are discussed.

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