Acyclic Directed Graphs to Represent Conditional Independence Models.
Marco BaiolettiGiuseppe BusanelloBarbara VantaggiPublished in: ECSQARU (2009)
Keyphrases
- conditional independence
- directed graph
- directed acyclic graph
- gaussian model
- causal models
- bayesian networks
- causal independence
- graphical models
- markov property
- structure and parameter learning
- probabilistic model
- parameter estimation
- axiomatic characterization
- learning algorithm
- probabilistic inference
- model selection
- np hard
- structure learning
- lower bound
- causal discovery
- strongly connected
- bayes nets
- probability distribution
- random variables