Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- probability distribution
- structure learning
- causal models
- axiomatic characterization
- learning bayesian networks
- directed acyclic graph
- possibility theory
- bayesian network structure
- structure and parameter learning
- conditional independencies
- gaussian model
- probability theory
- statistical independence
- chain graphs
- belief propagation
- input output
- markov property
- causal independence
- mutual information
- machine learning
- neural network