Login / Signup
Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction.
Tiangang Cui
Youssef M. Marzouk
Karen Willcox
Published in:
J. Comput. Phys. (2016)
Keyphrases
</>
inverse problems
posterior probability
convex optimization
maximum likelihood
posterior distribution
bayesian networks
state space
image reconstruction
object recognition
probability distribution
total variation
pairwise
search space