Minimax Mean-Square Thresholding Risk in Models with Non-Gaussian Noise Distribution

摘要

AbstractThe problem of nonparametric estimation of a signal function from noisy observations by thresholding its wavelet coefficients is considered. The orders of mean-square risk and asymptotically optimal thresholds under general assumptions on the noise distribution are calculated.