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Convergence rate of cross-validation in nonlinear wavelet regression estimation
Authors:Zhang Shuanglin  Zheng Zhongguo
Affiliation:(1) Department of Probability and Statistics, Peking University, 100871 Beijing, China
Abstract:Cross-validation method is used to choose the three smoothing parameters in nonlinear wavelet regression estimators. The strong consistency and convergence rate of cross-validation nonlinear wavelet regression estimators are obtained.
Keywords:wavelet estimation  nonparametric regression estimators  cross-validation  strong consistency
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