Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding.
Jiajing ZhengAlexander D'AmourAlexander FranksPublished in: AISTATS (2022)
Keyphrases
- bayesian inference
- causal inference
- hidden variables
- probabilistic model
- observational data
- additive noise
- prior information
- causal models
- hyperparameters
- abductive reasoning
- discrete data
- nonmonotonic reasoning
- data sets
- latent variables
- rare events
- experimental data
- markov chain monte carlo
- bayesian networks
- decision trees
- noisy images
- random sampling
- distributed data
- graphical models