Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery.
Hao ZhangShuigeng ZhouJihong GuanPublished in: AAAI (2018)
Keyphrases
- conditional independence
- causal discovery
- causal models
- bayesian networks
- causal relationships
- graphical models
- random variables
- directed acyclic graph
- markov blanket
- discovery process
- causal structure
- probability distribution
- axiomatic characterization
- structure learning
- least squares
- learning bayesian networks
- learning algorithm
- databases
- possibility theory
- markov chain