Wavelet Shrinkage with Aane Bayes Rules with Applications

Wavelet representations of statistical models are linear in coeecients and suitable for application of Bayesian based techniques for denoising, density estimation, regression, and model selection. In this paper we demonstrate how the theory of linear Bayesian models can be utilized in wavelet shrinkage, regression, and density estimation.