On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach.
Mathias NiepertDirk Van GuchtMarc GyssensPublished in: CoRR (2014)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- probability distribution
- structure learning
- graphical models
- learning bayesian networks
- directed acyclic graph
- statistical independence
- causal models
- structure and parameter learning
- possibility theory
- gaussian model
- bayesian network structure
- probability theory
- axiomatic characterization
- markov property
- causal independence
- chain graphs
- causal discovery
- probabilistic inference
- functional dependencies