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Automatic Smoothing With Wavelets for a Wide Class of Distributions

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, no. 2.0 (2004): 399.0-421.0

Cited by: 60|Views9
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Abstract

Wavelet-based denoising techniques are well suited to estimate spatially inhomogeneous signals. Waveshrink (Donoho and Johnstone) assumes independent Gaussian errors and equispaced sampling of the signal. Various articles have relaxed some of these assumptions, but a systematic generalization to distributions such as Poisson, binomial, or...More

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