Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction

Tiangang Cui, Youssef M. Marzouk, Karen E. Willcox

Two major bottlenecks to the solution of large-scale Bayesian inverse problems are the scaling of posterior sampling algorithms to high-dimensional parameter spaces and the computa…