Approximation enhancement for stochastic Bayesian inference.
Joseph S. FriedmanJacques DroulezPierre BessièreJorge LoboDamien QuerliozPublished in: Int. J. Approx. Reason. (2017)
Keyphrases
- bayesian inference
- expectation propagation
- variational approximation
- probabilistic model
- approximation schemes
- discrete random variables
- prior information
- hyperparameters
- variational inference
- hierarchical bayesian
- variational bayes
- statistical inference
- stage stochastic programs
- bayesian model
- probabilistic modeling
- particle filter
- prior distribution
- hidden variables
- approximation algorithms
- closed form
- bayesian models
- gibbs sampler
- monte carlo
- graphical models