Gaussian variational approximation with sparse precision matrices.
Linda S. L. TanDavid J. NottPublished in: Stat. Comput. (2018)
Keyphrases
- variational approximation
- exact inference
- em algorithm
- latent variables
- approximate inference
- bayesian inference
- kullback leibler
- variational bayes
- variational inference
- graphical models
- maximum likelihood
- bayesian networks
- markov chain monte carlo
- high dimensional
- gaussian mixture
- gaussian mixture model
- cluster ensemble
- posterior distribution
- marginal distributions
- probability density
- probabilistic inference
- prior knowledge
- pairwise