Bayesian Inference in Sparse Gaussian Graphical Models.
Peter OrchardFelix V. AgakovAmos J. StorkeyPublished in: CoRR (2013)
Keyphrases
- bayesian inference
- gaussian graphical models
- graphical models
- probabilistic model
- linear models
- belief propagation
- prior information
- variational inference
- hyperparameters
- statistical inference
- hierarchical bayesian
- variational bayes
- bayesian model
- bayesian networks
- probabilistic inference
- belief networks
- random variables
- expectation propagation
- latent variables
- statistical model
- mixture model
- particle filter
- data sets