Ideal Spatial Adaptation by Wavelet Shrinkage

Donoho, D. L., & Johnstone, I. M. (1994). Ideal Spatial Adaptation by Wavelet Shrinkage. Biometrika, 81(3), 425-455.

Type

Journal article

Intellectual base

Primary research

Year

1994

Volume

81

Issue

3

Pages

425-455

DOI

10.1093/biomet/81.3.425

DOI registrant

Oxford University Press

Link

https://doi.org/10.1093/biomet/81.3.425

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Domain-specific

• Stepwise regression
  • … Forward selection begins with an intercept and repeatedly adds the predictor producing the best criterion improvement until no candidate qualifies. to Analysts use out-of-sample validation or selection-aware inference and report instability, collinearity and the full search rather than naive final-model p-values..

Mechanisms

• Wavelet Multiresolution Analysis
  • Threshold the coefficients — hard or soft shrinkage kills small (noise-dominated) coefficients while sparing the few large ones that carry a transient.

    This sourceDevelops selective wavelet reconstruction that suppresses noise by shrinking empirical wavelet coefficients.

Verification

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Registry ID ref:c25a9891d6b0 · see in the full table