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- W2035244564 abstract "This paper considers the problem of nonparametric deconvolution density estimation when sample observa-tions are contaminated by double exponentially distributed errors. Three different deconvolution density estima-tors are introduced: a weighted kernel density estimator, a kernel density estimator based on the support vector regression method in a RKHS, and a classical kernel density estimator. The performance of these deconvolution density estimators is compared by means of a simulation study." @default.
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- W2035244564 date "2010-05-31" @default.
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- W2035244564 title "A Support Vector Method for the Deconvolution Problem" @default.
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- W2035244564 doi "https://doi.org/10.5351/ckss.2010.17.3.451" @default.
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