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Block Thresholding on the Sphere
Block Thresholding Needlets Spherical Data Nonpara-metric Regression
2013/4/27
Th aim of this paper is to study the nonparametric regression estimators on the sphere built by the needlet block thresholding. The block thresholding procedure proposed here follows the method introd...
Wavelet block thresholding for samples with random design: A minimax approach under the Lp risk
Regression with random design wavelets block thresholding
2009/9/18
We consider the regression model with (known) random design. We investigate the minimax performances of an adaptive wavelet block thresholding estimator under the Lp risk with p >2 over Besov balls. W...
A data-driven block thresholding approach to wavelet estimation
Adaptivity Besov body block thresholding James–Stein estimator nonparametric regression Stein’s unbiased risk estimate
2010/3/19
A data-driven block thresholding procedure for wavelet regression
is proposed and its theoretical and numerical properties are investigated.
The procedure empirically chooses the block size and thre...
