Scalable Counterfactual Distribution Estimation in Multivariate Causal Models.
Thong PhamShohei ShimizuHideitsu HinoTam LePublished in: CoRR (2023)
Keyphrases
- causal models
- causal reasoning
- causal discovery
- structural equation models
- causal relationships
- conditional independence
- causal relations
- causal inference
- directed acyclic graph
- structural model
- maximum likelihood estimator
- probability distribution
- probability density
- maximum likelihood estimates
- causal structure
- dependence structure
- dependency graphs
- model selection
- diagnostic problem solving
- causal graph
- sensitivity analysis
- random variables
- regression model
- collaborative learning