Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments (2020)

First Author: Vidal A
Attributed to:  Bayesian model selection & calibration for computational imaging funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1137/20m1339829

Publication URI: http://dx.doi.org/10.1137/20m1339829

Type: Journal Article/Review

Parent Publication: SIAM Journal on Imaging Sciences

Issue: 4