Conditional Independence in Testing Bayesian Networks.
Yujia ShenHaiying HuangArthur ChoiAdnan DarwichePublished in: ICML (2019)
Keyphrases
- conditional independence
- bayesian networks
- structure learning
- learning bayesian networks
- graphical models
- probability distribution
- bayesian network structure
- random variables
- probabilistic model
- structure and parameter learning
- parameter learning
- chain graphs
- directed acyclic graph
- causal models
- structure learning algorithm
- possibility theory
- statistical independence
- probabilistic inference
- conditional probabilities
- axiomatic characterization
- markov property
- causal independence
- conditional independencies
- exact inference
- approximate inference
- causal relationships
- markov blanket
- markov networks