On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach
Mathias NiepertDirk Van GuchtMarc GyssensPublished in: CoRR (2008)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- probability distribution
- directed acyclic graph
- learning bayesian networks
- causal models
- structure learning
- gaussian model
- probability theory
- possibility theory
- bayesian network structure
- axiomatic characterization
- functional dependencies
- statistical independence
- chain graphs
- structure and parameter learning
- conditional independencies
- probabilistic inference
- markov blanket
- markov property
- partial order
- image segmentation
- fuzzy logic