Conditional independence testing under model misspecification.
Felipe Maia PoloYuekai SunMoulinath BanerjeePublished in: CoRR (2023)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- learning bayesian networks
- probability distribution
- statistical independence
- directed acyclic graph
- causal models
- possibility theory
- axiomatic characterization
- structure learning
- bayesian network structure
- probability theory
- gaussian model
- markov property
- structure and parameter learning
- causal independence
- conditional independencies
- approximate inference
- belief propagation
- input output
- knowledge representation
- social networks
- chain graphs
- machine learning
- neural network