Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions.
Jan LemeireKris SteenhautPublished in: NIPS Causality: Objectives and Assessment (2010)
Keyphrases
- causal models
- probability distribution
- causal inference
- belief networks
- conditional independence
- causal discovery
- bayesian networks
- graphical representation
- causal reasoning
- structural model
- causal relationships
- causal relations
- directed acyclic graph
- structural equation models
- bayes nets
- conditional probabilities
- probabilistic inference
- observational data
- causal structure
- random variables
- inference process
- causal graph
- bayesian inference
- tractable cases
- posterior distribution
- diagnostic problem solving