Agapiou, Sergios https://orcid.org/0000-0003-4058-0911
Burger, Martin
Dashti, Masoumeh
Helin, Tapio https://orcid.org/0000-0002-5788-0008
Funding for this research was provided by:
Suomen Akatemia (275177)
European Research Council, Grant EU FP 7 (ERC Consolidator Grant 615216 LifeI)
German Science Exchange Foundation DAAD (Project 57162894)
Journal title: Inverse Problems
Article type: paper
Article title: Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems
Copyright information: © 2018 IOP Publishing Ltd
Publication dates
Date received: 2017-10-17
Date accepted: 2018-02-02
Online publication date: 2018-02-20