ExpHyperRatioTarget {EDISON}  R Documentation 
This function calculates the acceptance ratio of a level1 hyperparameter move for a given target node.
ExpHyperRatioTarget(beta.proposed, beta.old, target.net, self.loops)
beta.proposed 
Proposed new hyperparameter value. 
beta.old 
Previous value of hyperparameter beta. 
target.net 
Network segments for the target node associated with this hyperparameter value. 
self.loops 

Returns the ratio of the exponential prior with the previous hyperparameter value and the proposed new hyperparameter value.
Frank Dondelinger
For information about the exponential information sharing prior, see:
Husmeier et al. (2010), "Intertime segment information sharing for nonhomogeneous dynamic Bayesian networks", NIPS.
Dondelinger et al. (2012), "Nonhomogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually timevarying structure", Machine Learning.