Bayesian Inference Based on Stationary Fokker-Planck Sampling.
Arturo BerronesPublished in: Neural Comput. (2010)
Keyphrases
- bayesian inference
- gibbs sampler
- markov chain monte carlo
- probabilistic model
- prior information
- non stationary
- hyperparameters
- bayesian model
- particle filter
- variational inference
- statistical inference
- weighted model counting
- random sampling
- inference process
- variational bayes
- markov networks
- hidden variables
- probabilistic modeling
- hierarchical bayesian
- variational approximation
- pairwise
- sampling methods
- monte carlo
- exponential family
- expectation propagation
- semi supervised