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- W2077160926 abstract "A data-driven bandwidth selection method for backfitting estimation of semiparametric additive models, when the parametric part is of main interest, is proposed. The proposed method is a double smoothing estimator of the mean-squared error of the backfitting estimator of the parametric terms. The performance of the proposed method is evaluated and compared with existing bandwidth selectors by means of a simulation study." @default.
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- W2077160926 date "2013-06-01" @default.
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- W2077160926 title "Bandwidth selection for backfitting estimation of semiparametric additive models: A simulation study" @default.
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- W2077160926 doi "https://doi.org/10.1016/j.csda.2013.01.010" @default.
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