Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis (2020)

First Author: De Bortoli V
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/10.1137/20m1339842

Publication URI: http://dx.doi.org/10.1137/20m1339842

Type: Journal Article/Review

Parent Publication: SIAM Journal on Imaging Sciences

Issue: 4