Practical Kernel Tests of Conditional Independence.
Roman PogodinAntonin SchrabYazhe LiDanica J. SutherlandArthur GrettonPublished in: CoRR (2024)
Keyphrases
- conditional independence
- bayesian networks
- conditional independence tests
- random variables
- structure learning
- learning bayesian networks
- graphical models
- probability distribution
- causal models
- possibility theory
- axiomatic characterization
- directed acyclic graph
- gaussian model
- statistical independence
- causal independence
- feature space
- causal discovery
- bayesian network structure
- support vector
- chain graphs
- kernel function
- structural learning
- probability theory
- probabilistic model
- incomplete information