Testing Conditional Independence of Discrete Distributions.
Clément L. CanonneIlias DiakonikolasDaniel M. KaneAlistair StewartPublished in: CoRR (2017)
Keyphrases
- conditional independence
- random variables
- probability distribution
- gaussian model
- continuous domains
- bayesian networks
- learning bayesian networks
- structure learning
- graphical models
- continuous variables
- causal models
- directed acyclic graph
- efficient algorithms to compute
- joint distribution
- probability theory
- possibility theory
- causal independence
- axiomatic characterization
- conditional probabilities
- structure and parameter learning
- latent variables
- causal discovery
- conditional independencies
- chain graphs
- bayesian network structure
- marginal distributions
- markov property
- statistical independence