Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables.
Rohit BhattacharyaRazieh NabiIlya ShpitserPublished in: CoRR (2020)
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
- linear models
- probabilistic model
- belief networks
- random variables
- density estimation
- least squares
- linear model
- regression model
- causal relationships
- conditional probabilities
- constrained optimization
- em algorithm
- parametric models
- hyperparameters
- low dimensional
- incomplete data
- prior information
- generative model
- prior knowledge