  We introduce new estimation methods for a sub-class of the Gaussian scale
mixture models for wavelet trees by Wainwright, Simoncelli & Willsky that rely
on modern results for composite likelihoods and approximate Bayesian inference.
Our methodology is illustrated for denoising and edge detection problems in
two-dimensional images.
