Bayesian Causal Inference with Gaussian Process Networks.
Enrico GiudiceJack KuipersGiusi MoffaPublished in: CoRR (2024)
Keyphrases
- gaussian process
- causal inference
- gaussian processes
- regression model
- bayesian framework
- latent variables
- additive noise
- model selection
- approximate inference
- abductive reasoning
- maximum likelihood
- hyperparameters
- semi supervised
- posterior probability
- causal models
- posterior distribution
- rare events
- observational data
- bayesian inference
- machine learning
- noise level
- knowledge discovery
- prior knowledge
- bayesian networks