Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix.
Yunfeng CaiXu LiMingming SunPing LiPublished in: CoRR (2023)
Keyphrases
- covariance matrix
- latent variables
- causal models
- observed variables
- structural equation models
- causal relationships
- structural model
- observational data
- probabilistic model
- covariance matrices
- random variables
- symmetric matrix
- causal discovery
- principal component analysis
- causal relations
- prior knowledge
- gaussian process
- positive definite
- gaussian mixture
- topic models
- sample size
- conditional independence
- directed acyclic graph
- pairwise
- singular value decomposition
- objective function
- causal ordering
- causal effects
- low rank
- graphical models
- probability distribution
- matrix factorization
- closed form
- mixture model
- data mining