Causal query in observational data with hidden variables.
Debo ChengJiuyong LiLin LiuJixue LiuKui YuThuc Duy LePublished in: CoRR (2020)
Keyphrases
- hidden variables
- observational data
- latent variables
- bayesian networks
- causal bayesian networks
- causal discovery
- causal structure
- causal relationships
- experimental data
- probabilistic model
- models with hidden variables
- causal effects
- causal models
- generative model
- observed variables
- directed acyclic graph
- random variables
- posterior distribution
- prior knowledge
- missing values
- probability distribution
- topic models
- machine learning
- em algorithm
- graphical models
- gaussian process
- dynamic programming
- expectation maximization