Empirical Bayes Estimation in Wavelet Nonparametric Regression-Reference-Cited by-同舟云学术

Empirical Bayes Estimation in Wavelet Nonparametric Regression

Published:1999 Issue: Volume: Page:309-322
ISSN:0930-0325
Container-title:Bayesian Inference in Wavelet-Based Models
language:
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Author:

Clyde Merlise A.,George Edward I.

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-0567-8_19.pdf

Reference20 articles.

1. Abramovich, F., Sapatinas, T., and Silverman, B.W. (1998). “Wavelet Thresholding via a Bayesian Approach,” Journal of the Royal Statistics Society, Series B, 60, 725–749.

2. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In 2nd International Symposium on Information Theory, Eds B.N. Petrov and F. Csaki, pp. 267–281. Budapest: Akademia Kiado.

3. Box, G.E.P. and Tiao, G.C. (1973). Bayesian Inference in Statistical Analysis, Wiley, NY.

4. Chipman, H., Kolaczyk, E., and McCulloch, R. (1997). “Adaptive Bayesian Wavelet Shrinkage”, Journal of the American Statistical Association, 92, 1413–1421.

5. Clyde, M. and George, E.I. (1998). “Robust Empirical Bayes Estimation in Wavelets”, ISDS Discussion Paper 98-21/ http://www.isds.duke.edu/.

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