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A Note on Nonparametric Density Estimation for the Deconvolution Problem

  • Published : 2008.11.30

Abstract

In this paper the support vector method is presented for the probability density function estimation when the sample observations are contaminated with random noise. The performance of the procedure is compared to kernel density estimates by the simulation study.

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