Dynamic and robust Bayesian graphical models.
Chunshan LiuDaniel R. KowalMarina VannucciPublished in: Stat. Comput. (2022)
Keyphrases
- graphical models
- bayesian networks
- belief propagation
- probabilistic model
- random variables
- statistical inference
- probabilistic inference
- approximate inference
- probabilistic graphical models
- conditional random fields
- belief networks
- structure learning
- markov networks
- map inference
- conditional independence
- exact inference
- message passing
- graph structure
- probabilistic reasoning
- hidden variables
- posterior probability
- conditional probabilities
- loopy belief propagation
- undirected graphical models
- search algorithm