A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.
Adi LinJie LuJunyu XuanFujin ZhuGuangquan ZhangPublished in: ACM Trans. Intell. Syst. Technol. (2020)
Keyphrases
- mixture model
- causal inference
- observational data
- experimental data
- directed acyclic graph
- causal discovery
- em algorithm
- latent variables
- sample size
- probabilistic model
- causal relationships
- causal models
- causal bayesian networks
- model selection
- dirichlet distribution
- generative model
- expectation maximization
- unsupervised learning
- language model
- bayesian networks
- maximum likelihood
- machine learning
- markov chain
- information retrieval
- discovery process
- graphical models
- semi supervised