HyperparameterMove(method, network.info, GLOBvar, hyper.proposals)'poisson' for the
Poisson prior (no information sharing), 'exp_soft' and
'exp_hard' for the exponential information sharing prior with soft or
hard information sharing among nodes, respectively, 'bino_soft' and
'bino_hard' for the binomial information sharing prior with soft or
hard information sharing among nodes, respectively.CollectNetworkInfo.ExpHyperMove and
BinoHyperMove for details.
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.