Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks.
Ivar SimonssonPetter MostadPublished in: Probabilistic Graphical Models (2016)
Keyphrases
- exact inference
- linear gaussian
- bayesian networks
- approximate inference
- discrete variables
- conditional probabilities
- graphical models
- inference in bayesian networks
- probabilistic inference
- probability distribution
- dynamic bayesian networks
- continuous variables
- belief networks
- probabilistic model
- structure learning
- conditional independence
- belief propagation
- variational methods
- hidden variables
- latent variables
- random variables
- gaussian process
- posterior probability
- junction tree
- markov networks
- approximation algorithms
- convex optimization
- structured prediction
- parameter estimation