Causal Inference in the Presence of Latent Variables and Selection Bias
Peter SpirtesChristopher MeekThomas S. RichardsonPublished in: CoRR (2013)
Keyphrases
- latent variables
- causal inference
- observational data
- additive noise
- probabilistic model
- random variables
- causal models
- abductive reasoning
- topic models
- discrete data
- prior knowledge
- causal discovery
- posterior distribution
- approximate inference
- gaussian process
- causal relationships
- nonmonotonic reasoning
- graphical models
- rare events
- machine learning
- bayesian inference
- co occurrence
- information extraction
- knowledge discovery
- probability distribution
- knowledge base