Conditional independence ideals with hidden variables.
Oliver ClarkeFatemeh MohammadiJohannes RauhPublished in: Adv. Appl. Math. (2020)
Keyphrases
- hidden variables
- conditional independence
- bayesian networks
- chain graphs
- probabilistic model
- graphical models
- random variables
- structure learning
- latent variables
- probability distribution
- partial order
- markov networks
- generative model
- models with hidden variables
- parameter learning
- em algorithm
- bayesian inference
- axiomatic characterization
- posterior probability
- probabilistic inference
- causal models
- markov property
- causal discovery
- incomplete data
- probabilistic graphical models
- exact inference
- conditional random fields
- network structure
- directed acyclic graph
- factor graphs
- active learning
- machine learning