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Practical bandwidth selection in deconvolution kernel density estimation. (2004). Delaigle, A. ; Gijbels, I..
In: Computational Statistics & Data Analysis.
RePEc:eee:csdana:v:45:y:2004:i:2:p:249-267.

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  2. Bandwidth selection for nonparametric regression with errors-in-variables. (2022). Taylor, Luke ; Otsu, Taisuke ; Dong, Hao.
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  5. Bivariate Kernel Deconvolution with Panel Data. (2021). Nordman, Daniel J ; Brabanter, Kris ; Carriquiry, Alicia L ; Basulto-Elias, Guillermo.
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  44. Bootstrap bandwidth selection in kernel density estimation from a contaminated sample. (2004). Gijbels, I. ; Delaigle, A..
    In: Annals of the Institute of Statistical Mathematics.
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  45. The choice of smoothing parameter in nonparametric regression through Wild Bootstrap. (2004). Manteiga, Gonzalez W. ; Gonzalez, Perez A. ; Martinez Miranda, M. D., .
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  45. Universal smoothing factor selection in density estimation: theory and practice. (1997). Udina, Frederic ; Mammen, Enno ; Lugosi, Gabor ; Devroye, Duc ; Fraiman, R. ; Sanchez-Sellero, C. ; Cao, R. ; HALL, P. ; Jones, M. ; Ua, J. ; MARRON, J. ; Beirlant, J..
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