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- W2056553066 abstract "Assume we have i.i.d. replications from the corrupted random variable Y=X+e, where X and e are independent. We propose a data-driven bandwidth based on cross-validation ideas, for the kernel deconvolution estimator of the density of X. The proposed method is shown to be asymptotically optimal. To cite this article: E. Youndje, M.T. Wells, C. R. Acad. Sci. Paris, Ser. I 334 (2002) 509–513." @default.
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- W2056553066 date "2002-01-01" @default.
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- W2056553066 title "Least squares cross-validation for the kernel deconvolution density estimator" @default.
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- W2056553066 doi "https://doi.org/10.1016/s1631-073x(02)02291-4" @default.
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