Causal Discovery with Latent Confounders Based on Higher-Order Cumulants.
Ruichu CaiZhiyi HuangWei ChenZhifeng HaoKun ZhangPublished in: CoRR (2023)
Keyphrases
- causal discovery
- higher order
- observational data
- causal models
- latent variables
- causal relationships
- causal structure
- discovery process
- high order
- fourth order
- natural images
- directed acyclic graph
- causal effects
- bayesian networks
- pairwise
- experimental data
- conditional independence
- markov random field
- markov blanket
- higher order statistics
- blind source separation
- conditional random fields
- random variables
- learning process
- gaussian process
- probabilistic model
- real world