multivariate kernel density estimation with a parametric support

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ID: 136426
2009
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Abstract
We consider kernel density estimation in the multivariate case, focusing on the use of some elements of parametric estimation. We present a two-step method, based on a modification of the EM algorithm and the generalized kernel density estimator, and compare this method with a couple of well known multivariate kernel density estimation methods.
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jarnicka2009opusculamultivariate Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jolanta Jarnicka
Journal zhonghua yi xue za zhi
Year 2009
DOI
http://dx.doi.org/10.7494/OpMath.2009.29.1.41
URL
http://www.opuscula.agh.edu.pl/vol29/1/art/opuscula_math_2904.pdf
Keywords
kernel em algorithmapplied mathematics

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