Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.
Mahesh BalasubramanianTrevor D. RuizBrandon Cook PrabhatSharmodeep BhattacharyyaAviral ShrivastavaKristofer E. BouchardPublished in: IPDPS (2020)
Keyphrases
- causal networks
- causal bayesian networks
- observational data
- causal relationships
- bayesian networks
- causal discovery
- possibilistic networks
- causal relations
- causal structure
- causal effects
- experimental data
- causal models
- probabilistic inference
- bayesian inference
- data mining
- directed acyclic graph
- belief revision
- latent variables
- influence diagrams
- sample size
- graphical models
- probability distribution
- possibility theory
- hyperparameters
- bayesian methods
- conditional independence
- belief networks
- sensitivity analysis
- active learning
- support vector
- training data