Testing conditional independence of discrete distributions.
Clément L. CanonneIlias DiakonikolasDaniel M. KaneAlistair StewartPublished in: STOC (2018)
Keyphrases
- conditional independence
- random variables
- probability distribution
- gaussian model
- continuous domains
- bayesian networks
- graphical models
- structure learning
- learning bayesian networks
- probability theory
- continuous variables
- causal models
- efficient algorithms to compute
- axiomatic characterization
- bayesian network structure
- directed acyclic graph
- possibility theory
- structure and parameter learning
- statistical independence
- conditional independencies
- causal independence
- marginal distributions
- social networks
- markov property
- chain graphs
- conditional probabilities
- latent variables
- fuzzy logic
- exponential family
- reinforcement learning
- causal discovery
- belief networks
- posterior distribution