Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions.
Shohei ShimizuKenneth BollenPublished in: J. Mach. Learn. Res. (2014)
Keyphrases
- causal ordering
- bayesian estimation
- structural equation models
- causal effects
- causal models
- causal relations
- causal structure
- causal relationships
- observational data
- random variables
- directed acyclic graph
- causal graph
- experimental data
- gaussian distribution
- hidden variables
- generating explanations
- machine learning
- online discussion
- causal discovery
- e learning
- linear models
- variable selection
- probability distribution
- pairwise
- bayesian networks