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.