Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis (2020)
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/10.48550/arxiv.2008.05793
Publication URI: https://arxiv.org/abs/2008.05793
Type: Preprint