Sequential Monte Carlo methods for Bayesian elliptic inverse problems.
Alexandros BeskosAjay JasraEge A. MuzafferAndrew M. StuartPublished in: Stat. Comput. (2015)
Keyphrases
- inverse problems
- partial differential equations
- sequential monte carlo methods
- image reconstruction
- global optimization
- convex optimization
- optimization methods
- optimization problems
- bayesian networks
- early vision
- image denoising
- gaussian model
- level set
- maximum likelihood
- computationally expensive
- high quality
- smoothness constraint
- image intensity
- parameter space
- graph cuts