Federated Causal Inference in Heterogeneous Observational Data.
Ruoxuan XiongAllison KoeneckeMichael PowellZhu ShenJoshua T. VogelsteinSusan AtheyPublished in: CoRR (2021)
Keyphrases
- causal inference
- observational data
- experimental data
- directed acyclic graph
- causal discovery
- causal models
- latent variables
- bayesian networks
- causal relationships
- causal bayesian networks
- sample size
- additive noise
- conditional independence
- abductive reasoning
- rare events
- discrete data
- decision making
- nonmonotonic reasoning
- data mining
- generative model