A scale-free structure prior for Bayesian inference of Gaussian graphical models.

Osamu Maruyama Shota Shikita

Published in: BIBM (2014)

Keyphrases

bayesian inference
gaussian graphical models
scale free
prior information
bayesian model
probabilistic model
graphical models
small world properties
hyperparameters
small world
prior knowledge
complex networks
prior distribution
power law
linear models
support vector
belief propagation
least squares