Discovery of Causal Additive Models in the Presence of Unobserved Variables.
Takashi Nicholas MaedaShohei ShimizuPublished in: CoRR (2021)
Keyphrases
- observational data
- additive models
- causal effects
- causal discovery
- causal relationships
- causal models
- directed acyclic graph
- linear models
- causal relations
- observed variables
- latent variables
- bayesian networks
- hidden variables
- linear classifiers
- sample size
- variable selection
- decision trees
- linear svm
- linear regression
- high dimensional
- data mining
- text classification
- similarity measure