Keyphrases
- structure and parameter learning
- conditional independence
- bayesian networks
- random variables
- structure learning
- graphical models
- learning bayesian networks
- probability distribution
- causal models
- bayesian network structure
- gaussian model
- axiomatic characterization
- directed acyclic graph
- probabilistic networks
- causal independence
- network structure
- maximum likelihood
- possibility theory
- real option
- markov property
- conditional independencies
- causal discovery
- statistical independence
- chain graphs
- neural network
- search space
- conditional probabilities
- causal networks