Tag: Bayesian inverse problems

Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with rank-deficient prior covariances.

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier simulation evaluations to cut the computational cost ...