Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding.
Myrl G. MarmarelisGreg Ver SteegAram GalstyanFred MorstatterPublished in: CoRR (2023)
Keyphrases
- prediction intervals
- regression model
- confidence level
- upper bound
- travel time
- linear regression model
- causal effects
- bayesian networks
- causal relationships
- lower bound
- prediction error
- regression methods
- confidence intervals
- regression analysis
- model selection
- linear regression
- causal models
- search space
- nonlinear dynamical systems
- search algorithm