Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun ZhangJonas PetersDominik JanzingBernhard SchölkopfPublished in: CoRR (2012)
Keyphrases
- conditional independence
- causal discovery
- causal models
- bayesian networks
- random variables
- causal relationships
- probability distribution
- graphical models
- directed acyclic graph
- causal structure
- structure learning
- learning bayesian networks
- conditional independencies
- markov blanket
- discovery process
- possibility theory
- directed graph
- association rules