Compressive nonparametric graphical model selection for time series.
Alexander JungReinhard HeckelHelmut BölcskeiFranz HlawatschPublished in: ICASSP (2014)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- statistical inference
- probabilistic graphical models
- probabilistic inference
- bayesian networks
- approximate inference
- map inference
- gaussian graphical models
- belief networks
- conditional random fields
- structure learning
- markov networks
- conditional independence
- graph structure
- exact inference
- factor graphs
- non stationary
- message passing
- graphical structure
- structural learning
- conditional dependencies