Conditional Independence Testing using Generative Adversarial Networks.
Alexis BellotMihaela van der SchaarPublished in: CoRR (2019)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- learning bayesian networks
- probability distribution
- graphical models
- causal models
- directed acyclic graph
- structure learning
- axiomatic characterization
- probability theory
- bayesian network structure
- possibility theory
- generative model
- causal independence
- social networks
- statistical independence
- probabilistic networks
- chain graphs
- markov property
- structure and parameter learning
- causal networks
- causal discovery
- markov logic networks
- probabilistic inference
- network structure
- state space
- decision trees