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http://dx.doi.org/10.5351/CKSS.2008.15.6.939

A Note on Nonparametric Density Estimation for the Deconvolution Problem  

Lee, Sung-Ho (Department of Statistics, Daegu University)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.6, 2008 , pp. 939-946 More about this Journal
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.
Keywords
Nonparametric density estimation; deconvolution; kernel estimator; support vector; reproducing kernel Hilbert space(RKHS);
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Times Cited By KSCI : 1  (Citation Analysis)
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