Advances in the Understanding and Use of Conditional Independence.
Glenn ShaferPublished in: Ann. Math. Artif. Intell. (1997)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- probability distribution
- learning bayesian networks
- structure learning
- axiomatic characterization
- directed acyclic graph
- statistical independence
- gaussian model
- structure and parameter learning
- causal models
- possibility theory
- probability theory
- chain graphs
- bayesian network structure
- conditional independencies
- probabilistic model
- causal independence
- input output
- generative model