Browsing Faculty of Natural and Agricultural Sciences by Subject "Regression"
Now showing items 1-2 of 2
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Bias and variance reduction procedures in non-parametric regression
(SASA, 2016)The purpose of this study is to determine the effect of three improvement methods on nonparametric kernel regression estimators. The improvement methods are applied to the Nadaraya-Watson estimator with cross-validation ... -
On the asymptotic theory of new bootstrap confidence bounds
(IMS, 2018)We propose a new method, based on sample splitting, for constructing bootstrap confidence bounds for a parameter appearing in the regular smooth function model. It has been demonstrated in the literature, for example, ...