Category-theoretic Structure for Independence and Conditional Independence.
Alex SimpsonPublished in: MFPS (2018)
Keyphrases
- conditional independence
- bayesian network structure
- structure and parameter learning
- causal models
- bayesian networks
- bayes net
- random variables
- conditional independence tests
- conditional dependencies
- graphical models
- learning bayesian networks
- structure learning
- structure learning algorithm
- directed acyclic graph
- probability distribution
- conditional independencies
- axiomatic characterization
- causal discovery
- markov property
- statistical independence
- hierarchical structure
- causal independence
- probability theory
- graph structure
- belief propagation
- chain graphs
- maximum likelihood