Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems.
D. Andrew BrownArvind K. SaibabaSarah VallélianPublished in: SIAM/ASA J. Uncertain. Quantification (2018)
Keyphrases
- inverse problems
- low rank
- hierarchical bayesian
- convex optimization
- bayesian inference
- variational inference
- image reconstruction
- global optimization
- prior information
- linear combination
- total variation
- random sampling
- markov chain monte carlo
- probabilistic model
- gibbs sampling
- hyperparameters
- missing data
- singular value decomposition
- partial differential equations
- posterior distribution
- high quality