A Distribution Free Conditional Independence Test with Applications to Causal Discovery.
Zhanrui CaiRunze LiYaowu ZhangPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- causal discovery
- conditional independence
- distribution free
- causal models
- random variables
- test statistic
- bayesian networks
- normal distribution
- graphical models
- causal relationships
- probability distribution
- directed acyclic graph
- structure learning
- discovery process
- markov blanket
- vc dimension
- pairwise
- large deviations
- data mining
- probabilistic model
- probabilistic inference
- standard deviation
- cross validation
- learning algorithm