Optimal low-rank approximations of Bayesian linear inverse problems

Alessio Spantini, Antti Solonen, Tiangang Cui +3

In the Bayesian approach to inverse problems, data are often informative, relative to the prior, only on a low-dimensional subspace of the parameter space. Significant computationa…