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

arXiv: https://arxiv.org/abs/1405.0379 · HTML: https://mlsanity.com/paper/1405.0379/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 May 2014.

## Built on by (most cited first, 1 of 1)

- [On the inability of Gaussian process regression to optimally learn compositional functions](https://mlsanity.com/paper/2205.07764/) (2022)

## Abstract (arXiv)

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.