Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows.
Nico ReickFelix WiewelAlexander BartlerBin YangPublished in: CoRR (2021)
Keyphrases
- gaussian process regression
- causal models
- structural model
- gaussian processes
- gaussian process
- causal discovery
- conditional independence
- covariance function
- causal relations
- causal relationships
- structural equation models
- directed acyclic graph
- causal structure
- causal reasoning
- causal graph
- pairwise
- image segmentation
- regression model