87 citations · 184 across the 14 of their papers we have counts for
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math.ST2021★ 4 cited
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
Sergios Agapiou, Sven Wang
Spatially inhomogeneous functions, which may be smooth in some regions and rough in other regions, are modelled naturally in a Bayesian manner using so-called Besov priors which ar…
math.ST2021★ 4 cited
Designing truncated priors for direct and inverse Bayesian problems
Sergios Agapiou, Peter Mathé
The Bayesian approach to inverse problems with functional unknowns, has received significant attention in recent years. An important component of the developing theory is the study…