A Recursive Markov Boundary-Based Approach to Causal Structure Learning.
Ehsan MokhtarianSina AkbariAmirEmad GhassamiNegar KiyavashPublished in: CD@KDD (2021)
Keyphrases
- structure learning
- conditional independence
- bayesian networks
- causal models
- markov blanket
- graphical models
- directed acyclic graph
- causal discovery
- bayes net
- parameter learning
- conditional independence tests
- bayesian network structure learning
- random variables
- causal relationships
- bayesian network classifiers
- markov logic networks
- parameter estimation
- markov chain
- probability distribution
- transfer learning
- data mining
- probabilistic reasoning
- upper bound
- causal reasoning
- least squares
- lower bound
- machine learning
- markov networks
- posterior probability