Kernel-based Conditional Independence Test and Application in Causal Discovery.
Kun ZhangJonas PetersDominik JanzingBernhard SchölkopfPublished in: UAI (2011)
Keyphrases
- conditional independence
- causal discovery
- causal models
- bayesian networks
- directed acyclic graph
- graphical models
- random variables
- discovery process
- causal relationships
- structure learning
- axiomatic characterization
- learning bayesian networks
- causal structure
- prior knowledge
- probability distribution
- markov blanket
- causal relations
- causal graph
- dynamic programming
- structural equation models
- conditional independencies