Probabilistic Conditional Independence under Schema Certainty and Uncertainty.
Joachim BiskupSven HartmannSebastian LinkPublished in: SUM (2012)
Keyphrases
- conditional independence
- possibility theory
- probability theory
- bayesian networks
- causal networks
- graphical models
- reasoning under uncertainty
- random variables
- bayes nets
- probability distribution
- structure learning
- conditional probabilities
- bayesian network structure
- uncertain data
- learning bayesian networks
- probabilistic model
- axiomatic characterization
- probabilistic reasoning
- causal models
- directed acyclic graph
- statistical independence
- chain graphs
- posterior probability
- structure and parameter learning
- causal independence
- probabilistic inference
- bayes net
- incomplete information
- possibilistic networks
- approximate inference
- generative model
- fuzzy sets
- possibility distributions
- parameter learning
- decision trees
- bayesian inference