Conditional independence and chain event graphs.
Jim Q. SmithPaul E. AndersonPublished in: Artif. Intell. (2008)
Keyphrases
- conditional independence
- chain graphs
- bayesian networks
- random variables
- markov property
- graphical models
- probability distribution
- directed acyclic graph
- structure learning
- causal models
- learning bayesian networks
- bayesian network structure
- axiomatic characterization
- structure and parameter learning
- directed graph
- gaussian model
- probability theory
- independence relations
- statistical independence
- graph structure
- causal discovery
- causal independence
- markov blanket
- structural learning
- probabilistic graphical models
- temporal events
- possibility theory
- reinforcement learning