Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations.
Qiang LiuXin T. TongPublished in: Stat. Comput. (2020)
Keyphrases
- differential equations
- gibbs sampler
- posterior distribution
- bayesian inference
- random fields
- markov chain monte carlo
- dynamical systems
- markov chain
- gibbs sampling
- probability distribution
- parameter estimation
- maximum a posteriori
- latent variables
- bayesian framework
- partial differential equations
- markov random field
- posterior probability
- bayesian networks
- neural network
- expectation maximization
- input image
- hyperparameters
- probabilistic model
- multiscale
- image processing