Double Generative Adversarial Networks for Conditional Independence Testing.
Chengchun ShiTianlin XuWicher BergsmaLexin LiPublished in: CoRR (2020)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- learning bayesian networks
- graphical models
- probability distribution
- structure learning
- directed acyclic graph
- causal models
- axiomatic characterization
- bayesian network structure
- probability theory
- generative model
- statistical independence
- network structure
- structure and parameter learning
- conditional independencies
- social networks
- possibility theory
- markov property
- causal independence
- discriminative learning
- causal discovery
- causal networks
- pairwise