Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion.
Jaime Roquero GimenezDominik RothenhäuslerPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- data fusion
- causal effects
- causal relations
- structural equation models
- observational data
- causal relationships
- linear models
- information fusion
- multi sensor
- bayesian networks
- fusion algorithm
- multi source
- multi sensor data fusion
- fusion method
- fusion process
- causal models
- fusion methods
- latent variables
- experimental data
- multiple sensors
- source selection
- belief networks
- causal discovery
- probabilistic inference
- causal bayesian networks
- causal structure
- sample size
- conditional probabilities
- probabilistic model
- causal networks
- regression model
- upper bound