Structural Learning of Multivariate Regression Chain Graphs via Decomposition.
Mohammad Ali JavidianMarco ValtortaPublished in: CoRR (2018)
Keyphrases
- structural learning
- chain graphs
- graphical models
- multivariate regression
- bayesian networks
- regression model
- conditional independence
- directed acyclic graph
- probabilistic model
- belief propagation
- random variables
- probabilistic graphical models
- linear regression
- probabilistic inference
- model selection
- markov networks
- approximate inference
- conditional random fields
- exact inference
- graph structure
- structure learning
- undirected graphical models
- posterior probability
- conditional probabilities
- hidden variables
- exponential family
- factor graphs
- message passing
- markov property
- belief networks