Multivariate models for dependent clusters of variables with conditional independence given aggregation variables.
Harry JoePeijun SangPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- conditional independence
- causal models
- random variables
- conditional independencies
- independence relations
- bayesian network structure
- markov property
- directed acyclic graph
- bayes nets
- variable selection
- graphical models
- hidden variables
- bayesian networks
- causal independence
- gaussian model
- markov blanket
- causal discovery
- chain graphs
- structure learning algorithm
- clustering algorithm
- learning bayesian networks
- conditional independence tests
- structure and parameter learning
- markov models
- prediction model
- conditional probabilities
- probability distribution
- probabilistic model
- causal relations
- possibility theory
- probability theory
- causal relationships
- probabilistic inference
- latent variables
- conditional dependencies