Limit theorems for risk estimate in models with non-Gaussian noise

DOI10.3103/S027864191802005XzbMath1397.94024OpenAlexW2806108014MaRDI QIDQ1789216

O. V. Shestakov

Publication date: 10 October 2018

Published in: Moscow University Computational Mathematics and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s027864191802005x

zbMATH Keywords

thresholdingnon-Gaussian noisemean-square risk estimate

Mathematics Subject Classification ID

Probability distributions: general theory (60E05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• On the strong consistency of the adaptive risk estimator for wavelet thresholding
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Ideal spatial adaptation by wavelet shrinkage
• Regularization of Wavelet Approximations
• Noise reduction by wavelet thresholding

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