High-dimensional non-linear Bayesian inverse problems

Richard Nickl (University of Cambridge, UK)

We will review recent progress and open problems in our understanding of the statistical and computational performance of Bayesian inference algorithms in non-linear inverse regression problems arising with partial differential equation models.