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arXiv · 1405.0379

Frequentist and Bayesian inference for Gaussian-log-Gaussian wavelet trees, and statistical signal processing applications

Robert Dahl Jacobsen·Jesper Møller
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Abstract

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.

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Robert Dahl Jacobsen, Jesper Møller. 2017-08-10. Frequentist and Bayesian inference for Gaussian-log-Gaussian wavelet trees, and statistical signal processing applications. https://doi.org/10.1002/sta4.156

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