Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors.
Sebastian J. VollmerPublished in: SIAM/ASA J. Uncertain. Quantification (2015)
Keyphrases
- inverse problems
- markov chain monte carlo
- image reconstruction
- monte carlo
- global optimization
- metropolis hastings algorithm
- convex optimization
- sampling algorithm
- markov chain
- optimization methods
- parameter space
- bayesian framework
- heavy tailed
- optimization problems
- maximum a posteriori
- posterior distribution
- posterior probability
- parameter estimation
- early vision
- proposal distribution
- partial differential equations
- bayesian inference
- generative model
- particle filter
- image analysis
- computer vision
- computationally expensive
- smoothness constraint
- particle swarm optimization
- optical flow
- image segmentation