Partial Homoscedasticity in Causal Discovery With Linear Models.
Jun WuMathias DrtonPublished in: IEEE J. Sel. Areas Inf. Theory (2023)
Keyphrases
- linear models
- causal discovery
- causal relationships
- causal models
- bayesian networks
- variable selection
- linear model
- discovery process
- data mining
- observational data
- directed acyclic graph
- causal effects
- conditional independence
- gaussian processes
- data sets
- latent variables
- causal relations
- linear regression
- training data
- generative model
- least squares
- prior knowledge
- reinforcement learning
- real world