Causal Query in Observational Data with Hidden Variables.
Debo ChengJiuyong LiLin LiuJixue LiuKui YuThuc Duy LePublished in: ECAI (2020)
Keyphrases
- hidden variables
- observational data
- latent variables
- bayesian networks
- causal bayesian networks
- causal discovery
- causal relationships
- causal structure
- experimental data
- probabilistic model
- causal effects
- models with hidden variables
- causal models
- observed variables
- directed acyclic graph
- posterior distribution
- random variables
- sample size
- em algorithm
- bayesian inference
- prior knowledge
- graphical models
- gaussian process
- probability distribution
- conditional independence
- generative model
- causal relations
- causal networks
- missing values
- topic models