On the conditional independence implication problem: A lattice-theoretic approach.
Mathias NiepertMarc GyssensBassem SayrafiDirk Van GuchtPublished in: Artif. Intell. (2013)
Keyphrases
- conditional independence
- bayesian networks
- graphical models
- random variables
- probability distribution
- structure learning
- learning bayesian networks
- causal models
- gaussian model
- statistical independence
- bayesian network structure
- possibility theory
- axiomatic characterization
- directed acyclic graph
- structure and parameter learning
- functional dependencies
- conditional independencies
- probability theory
- probabilistic model
- markov property
- causal independence
- decision trees