  A new Bayesian modeling method is proposed by combining the maximization of
the marginal likelihood with a momentum-space renormalization group
transformation for Gaussian graphical models. Moreover, we present a scheme for
computint the statistical averages of hyperparameters and mean square errors in
our proposed method based on a momentumspace renormalization transformation.
