On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach.
Mathias NiepertDirk Van GuchtMarc GyssensPublished in: UAI (2008)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- structure learning
- learning bayesian networks
- probability distribution
- bayesian network structure
- directed acyclic graph
- structure and parameter learning
- probability theory
- causal models
- axiomatic characterization
- gaussian model
- chain graphs
- conditional independencies
- possibility theory
- causal discovery
- markov blanket
- statistical independence
- functional dependencies
- belief propagation
- social networks
- hidden markov models
- probabilistic model