(Enter summary)
Abstract: this paper, we propose Empirical Bayes (EB) methods to resolve the prior selection problem for
Bayesian estimation of wavelet coe#cients. We develop these methods not only for the conventional nor- (Update)
Context of citations to this paper: More
...rather than the conjugate normal density. Such mixture densities have been shown to be particularly e ective for prediction (e.g. Clyde and George, 2000). Acknowledgements This work was carried out while the rst author was visiting the University of Texas at Austin and was...
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BibTeX entry: (Update)
Clyde, M. & George, E.I. (2000). Flexible empirical Bayes estimation for wavelets. J. R. Statist. Soc. B, 62, 681-698. http://citeseer.ist.psu.edu/clyde98flexible.html More
@misc{ clyde00flexible,
author = "M. Clyde and E. George",
title = "Flexible empirical Bayes estimation for wavelets",
text = "Clyde, M. & George, E.I. (2000). Flexible empirical Bayes estimation for
wavelets. J. R. Statist. Soc. B, 62, 681-698.",
year = "2000",
url = "citeseer.ist.psu.edu/clyde98flexible.html" }
Citations (may not include all citations):
227
Adapting to unknown smoothness via wavelet shrinkage
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Wavelet shrinkage: Asymptopia
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Wavelet threshold estimators for data with correlated noise
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Wavelet thresholding via a Bayesian approach
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Adaptive Bayesian wavelet shrinkage (context) - Chipman, Kolaczyk et al. - 1997
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Multiple shrinkage and subset selection in wavelets
- Clyde, Parmigiani et al. - 1998
42
Elements of Statistical Computing (context) - Thisted - 1988
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Calibration and empirical Bayes variable selection
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Outlier models and prior distributions in Bayesian linear re.. (context) - West - 1984
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On scale mixtures of normal distributions (context) - West - 1987
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Minimax multiple shrinkage estimation (context) - George - 1986
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Modelling with heavy tails (context) - O'Hagan - 1988
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Denoising and robust nonlinear wavelet analysis
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On outlier rejection phenomena in Bayes inference (context) - O'Hagan - 1979
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Wavelet Applications (context) - Proceedings - 1994
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