Robust Bayesian model selection for variable clustering with the Gaussian graphical model.
Daniel AndradeAkiko TakedaKenji FukumizuPublished in: Stat. Comput. (2020)
Keyphrases
- graphical models
- belief propagation
- random variables
- probabilistic graphical models
- probabilistic inference
- approximate inference
- probabilistic model
- bayesian networks
- clustering algorithm
- bayesian model selection
- conditional random fields
- posterior probability
- k means
- conditional independence
- maximum likelihood
- model selection
- gaussian graphical models
- unsupervised learning
- stereo matching
- search space
- image processing