Detecting relationships between physiological variables using graphical models.
Michael ImhoffRoland FriedUrsula GatherPublished in: AMIA (2002)
Keyphrases
- graphical models
- random variables
- belief propagation
- factor graphs
- graphical structure
- causal relationships
- conditional dependencies
- probabilistic model
- probabilistic graphical models
- bayesian networks
- conditional random fields
- approximate inference
- probabilistic inference
- marginal probabilities
- map inference
- structure learning
- markov networks
- conditional independence
- directed graphical models
- message passing
- influence diagrams
- conditional probabilities
- belief networks
- loopy belief propagation
- statistical inference
- undirected graphical models
- latent variables
- exact inference
- statistical relational learning
- joint distribution
- directed acyclic graph
- generative model
- possibilistic networks
- higher order
- gaussian graphical models
- pairwise