On a wider class of prior distributions for graphical models.
Abhinav NatarajanWillem van den BoomKristoforus Bryant OdangMaria De IorioPublished in: J. Appl. Probab. (2024)
Keyphrases
- graphical models
- belief propagation
- random variables
- probabilistic model
- chain graphs
- approximate inference
- probabilistic inference
- probabilistic graphical models
- bayesian networks
- conditional random fields
- map inference
- factor graphs
- belief networks
- markov networks
- exact inference
- conditional independence
- structure learning
- loopy belief propagation
- statistical inference
- statistical relational learning
- graph structure
- message passing
- pairwise