Causal inference using Bayesian non-parametric quasi-experimental design.
Max HinneMarcel A. J. van GervenLuca AmbrogioniPublished in: CoRR (2019)
Keyphrases
- experimental design
- causal inference
- additive noise
- causal models
- empirical studies
- sample size
- active learning
- abductive reasoning
- rare events
- nonmonotonic reasoning
- maximum likelihood
- discrete data
- bayesian networks
- observational data
- feature selection
- gaussian process
- non stationary
- prior knowledge
- lower bound
- feature extraction