Wavelet estimation of a base-line signal from repeated noisy measurements by vertical block shrinkage.

DOI10.1016/S0167-9473(02)00053-1zbMath1098.62506OpenAlexW2008858320MaRDI QIDQ1608907

Brani Vidakovic, Woojin Chang

Publication date: 13 August 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00053-1

zbMATH Keywords

Stein-type estimatorsEmpirical Bayes methodWavelet shrinkage

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Numerical methods for wavelets (65T60) Statistical aspects of information-theoretic topics (62B10)

Related Items

Bayesian feature selection for classification with possibly large number of classes ⋮ Wavelet Shrinkage with Double Weibull Prior

Cites Work

• Estimation of the mean of a multivariate normal distribution
• Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors
• Understanding WaveShrink: variance and bias estimation
• Wavelet thresholding for some classes of non–Gaussian noise
• Covariance Structure of Wavelet Coefficients: Theory and Models in a Bayesian Perspective
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