Measuring Conditional Independence by Independent Residuals for Causal Discovery.
Hao ZhangShuigeng ZhouJihong GuanJun HuanPublished in: ACM Trans. Intell. Syst. Technol. (2019)
Keyphrases
- causal discovery
- conditional independence
- causal models
- bayesian networks
- random variables
- structure learning
- causal structure
- graphical models
- directed acyclic graph
- markov blanket
- causal relationships
- probability distribution
- discovery process
- possibility theory
- axiomatic characterization
- least squares
- information retrieval
- causal relations
- observational data
- real world
- parameter learning
- model selection
- maximum likelihood
- chain graphs