@inproceedings{ac2302f7219b4c7ea71aa32f5dbe5424,
title = "Approximating Bayesian confidence regions in convex inverse problems",
keywords = "Bayes methods, approximation theory, convex programming, image restoration, inverse problems, Bayesian confidence region approximation, Bayesian high-posterior-density region approximation, approximation error, convex inverse problems, high-dimensional image restoration problem, impressive point estimation, proximal Markov chain Monte Carlo, standard convex optimisation techniques, statistical signal processing methods, Approximation error, Estimation, Inverse problems, Optimization, Signal processing, Uncertainty, Bayesian inference, convex optimisation, uncertainty quantification",
author = "Marcelo Pereyra",
year = "2016",
month = jun,
doi = "10.1109/SSP.2016.7551771",
language = "English",
pages = "1--5",
booktitle = "2016 IEEE Statistical Signal Processing Workshop (SSP)",
}