Discovering Mixtures of Structural Causal Models from Time Series Data.
Sumanth VaramballyYi-An MaRose YuPublished in: CoRR (2023)
Keyphrases
- causal models
- structural model
- causal discovery
- causal relations
- conditional independence
- directed acyclic graph
- causal relationships
- causal reasoning
- structural equation models
- causal structure
- discovery process
- structural information
- causal inference
- mixture model
- causal graph
- expectation maximization
- data analysis
- gaussian mixture
- discrete data
- principal component analysis
- high dimensional