Bayesian Probabilities for Constraint-Based Causal Discovery.
Tom ClaassenTom HeskesPublished in: IJCAI (2013)
Keyphrases
- causal discovery
- bayesian networks
- causal models
- causal relationships
- causal structure
- probability distribution
- conditional independence
- discovery process
- conditional probabilities
- posterior probability
- markov blanket
- prior probabilities
- bayesian inference
- directed acyclic graph
- observational data
- probabilistic model
- machine learning
- structure learning
- probabilistic inference
- belief networks
- maximum likelihood
- bayesian network classifiers
- reinforcement learning
- prior information