Conditional independence testing: a predictive perspective.
Marco Henrique de Almeida InácioRafael IzbickiRafael Bassi SternPublished in: CoRR (2019)
Keyphrases
- conditional independence
- bayesian networks
- graphical models
- random variables
- probability distribution
- structure learning
- learning bayesian networks
- causal models
- directed acyclic graph
- structure and parameter learning
- axiomatic characterization
- bayesian network structure
- possibility theory
- gaussian model
- probability theory
- chain graphs
- causal discovery
- causal independence
- probabilistic model
- neural network
- markov property
- conditional independencies
- belief propagation
- decision trees