Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium.
Alun ThomasPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- graphical models
- conditional independence
- chain graphs
- graph structure
- bayesian networks
- random variables
- belief propagation
- structure learning
- markov property
- probabilistic model
- structural learning
- graphical structure
- probability distribution
- probabilistic graphical models
- probabilistic inference
- directed acyclic graph
- approximate inference
- markov networks
- conditional random fields
- possibility theory
- probability theory
- causal models
- exact inference
- factor graphs
- undirected graph
- machine learning