Conditional independence collapsibility for acyclic directed mixed graph models.
Weihua LiBrian Yi SunPei HengPublished in: Int. J. Approx. Reason. (2024)
Keyphrases
- conditional independence
- chain graphs
- bayesian networks
- graphical models
- random variables
- probability distribution
- causal models
- structure learning
- learning bayesian networks
- directed acyclic graph
- possibility theory
- np hard
- gaussian model
- bayesian network structure
- axiomatic characterization
- probability theory
- statistical independence
- conditional independencies
- structure and parameter learning
- neural network
- markov chain
- causal graph
- causal discovery
- causal independence