Calculates the prior probability of the network using the exponential prior.
This function calculates the log prior probability of the network structure. It uses the exponential information sharing prior.
Network information collected using the function
Returns the log prior probability of the network segments.
For information about the exponential information sharing prior, see:
Husmeier et al. (2010), "Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks", NIPS.
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.
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