Discussion

Journal of the American Statistical Association

Volumn 96, Issue 455, 2001, Pages 956-958

  Vidakovic, Brani ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3543083498     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

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8. Leporini, D., and Pesquet, J.-C. (1998), “Wavelet Thresholding for Some Classes of Non-Gaussian Noise,” Technical report, CNRS/Université Paris-Sud, France.
9. Leporini, D., Pesquet, J.-C., and Krim, H. (1999), “Best Basis Representations with Prior Statistical Models,” in Bayesian Inference in Wavelet Based Models, eds. P. Müller and B. Vidakovic, Lecture Notes in Statistics, 141, New York: Springer Verlag, pp. 109–113.
10. Pesquet, J.-C., Krim, H., Leporini, D., and Hamman, E. (1996), “Bayesian Approach to Best Basis Selection,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 5, pp. 2634–2637.
11. Vidakovic, B. (1998a), “Nonlinear Wavelet Shrinkage With Bayes Rules and Bayes Factors,” Journal of the American Statistical Association, 93, 173–179.
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13. Wang, Y. (1999), “An Overview ofWavelet Regularization,” in Bayesian Inference in Wavelet Based Models, eds. P. Müller and B. Vidakovic, Lecture Notes in Statistics, 141, New York: Springer Verlag, pp. 109–113.