Bayesian Inference Based on Stationary Fokker-Planck Sampling
Arturo BerronesPublished in: CoRR (2009)
Keyphrases
- bayesian inference
- gibbs sampler
- markov chain monte carlo
- probabilistic model
- prior information
- hyperparameters
- non stationary
- bayesian model
- statistical inference
- variational inference
- variational bayes
- hidden variables
- particle filter
- hierarchical bayesian
- sample size
- inference process
- monte carlo
- bayesian models
- expectation propagation
- weighted model counting
- active learning
- probabilistic modeling
- markov networks
- posterior distribution
- random sampling
- generative model