Semigraphoids and Structures of Probabilistic Conditional Independence.
Milan StudenýPublished in: Ann. Math. Artif. Intell. (1997)
Keyphrases
- conditional independence
- bayesian networks
- probability theory
- bayes nets
- graphical models
- random variables
- learning bayesian networks
- structure learning
- probabilistic model
- probability distribution
- causal models
- directed acyclic graph
- posterior probability
- causal independence
- conditional probabilities
- bayes net
- structure and parameter learning
- possibility theory
- causal discovery
- bayesian network structure
- chain graphs
- axiomatic characterization
- generative model
- conditional independencies
- conditional random fields
- causal networks
- neural network
- hidden markov models
- incomplete data
- statistical independence
- probabilistic inference