Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score.
Muxuan LiangYoung-Geun ChoiYang NingMaureen A. SmithYing-Qi ZhaoPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- observational data
- high dimensional
- experimental data
- causal inference
- bayesian networks
- causal discovery
- directed acyclic graph
- causal models
- causal bayesian networks
- causal effects
- latent variables
- association rules
- causal relationships
- causal structure
- inference process
- feature space
- high dimensionality
- real world
- belief networks
- sample size
- regression model
- discovery process
- learning process
- feature selection
- data mining