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Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion

机译:公共带宽选择准则下基于核的非参数加性模型回归方法的有限样本性能

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摘要

In this paper, we investigate the finite sample performance of four kernel-based estimators that are currently available for additive non-parametric regression models-the classic backfitting estimator (CBE), the smooth backfitting estimator, the marginal
机译:在本文中,我们调查了目前可用于加性非参数回归模型的四种基于核的估计器的有限样本性能-经典后向拟合估计器(CBE),平滑后向拟合估计器,边际估计

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