1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2025★ 1 cited
Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method
Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong +1
In this work, we investigate the use of Besov priors in the context of Bayesian inverse problems. The solution to Bayesian inverse problems is the posterior distribution which natu…
math.ST2023
A Bayesian approach for consistent reconstruction of inclusions
Babak Maboudi Afkham, Kim Knudsen, Aksel Kaastrup Rasmussen +1
This paper considers a Bayesian approach for inclusion detection in nonlinear inverse problems using two known and popular push-forward prior distributions: the star-shaped and lev…