In a series of recent articles on nonparametric regression, Donoho and Johnstone developed wavelet-shrinkage methods for recovering unknown piecewise-smooth deterministic signals from noisy data.
We consider weak convergence of empirical measures generated by stationary random process X perturbed by deterministic noise N. We assume that the noise N has asymptotic distribution. In particular, ...
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