Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data.
Tjebbe BodewesMarco ScutariPublished in: PGM (2020)
Keyphrases
- incomplete data
- bayesian network structure learning
- bayesian networks
- structure learning
- learning bayesian networks
- graph theoretic
- hill climbing search
- missing data
- missing values
- graphical models
- incomplete data sets
- max min
- probabilistic model
- conditional independence
- random variables
- pattern recognition
- hidden variables
- conditional probabilities
- posterior probability
- probability distribution
- data mining
- causal models
- data sets
- transfer learning
- em algorithm
- principal component analysis