Regression in random design and wavelet block thresholding
Abstract
In the framework of regression model with (known) random design, we prove that estimators of wavelet coefficients of the unknown regression function satisfy a strong large deviation inequality. This result can be used to show several statistical properties concerning a wavelet block thresholding estimator.
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