Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables.
Rohit BhattacharyaRazieh NabiIlya ShpitserPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- models with hidden variables
- semi parametric
- statistical inference
- graphical models
- causal effects
- hidden variables
- bayesian inference
- probabilistic inference
- bayesian networks
- causal relations
- observational data
- probabilistic model
- linear models
- causal relationships
- least squares
- linear model
- density estimation
- regression model
- random variables
- prior information
- sample size
- belief networks
- experimental data
- hyperparameters
- high dimensional