A Recursive Markov Blanket-Based Approach to Causal Structure Learning.
Ehsan MokhtarianSina AkbariAmirEmad GhassamiNegar KiyavashPublished in: CoRR (2020)
Keyphrases
- markov blanket
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- parameter estimation
- bayesian network classifiers
- markov logic networks
- transfer learning
- network structure
- markov networks
- continuous variables
- sample size
- approximate inference
- belief propagation
- structure learning algorithm
- causal relationships
- knowledge representation
- maximum likelihood estimation
- causal discovery
- probabilistic graphical models
- variable selection
- markov random field
- upper bound
- probabilistic model