Causal Discovery using Bayesian Model Selection.
Anish DhirMark van der WilkPublished in: CoRR (2023)
Keyphrases
- causal discovery
- bayesian model selection
- posterior probability
- bayesian networks
- model selection
- em algorithm
- causal models
- parameter estimation
- causal relationships
- data association
- discovery process
- causal structure
- conditional independence
- directed acyclic graph
- expectation maximization
- sample size
- graphical models
- probability distribution
- data mining
- conditional probabilities
- probabilistic inference
- computational complexity
- kalman filter
- bayesian framework
- generative model
- pairwise
- learning algorithm