Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data.
Yuta SaitoShota YasuiPublished in: CoRR (2019)
Keyphrases
- model selection
- cross validation
- observational data
- sample size
- hyperparameters
- causal discovery
- causal relationships
- variable selection
- parameter estimation
- causal structure
- generalization error
- mixture model
- experimental data
- regression model
- causal models
- error estimation
- information criterion
- causal bayesian networks
- statistical inference
- bayesian networks
- causal effects
- model selection criteria
- directed acyclic graph
- leave one out cross validation
- machine learning
- selection criterion
- feature selection
- data sets
- training set
- support vector
- bayesian methods
- discovery process
- learning algorithm
- real world