Calculates the MH ratio of the binomial prior.
This function calculates the ratio of the binomial information sharing prior with the proposed new hyperparameter values, and the binomial prior with the current hyperparameter values.
BinoHyperRatio(params.proposed, changed, node.sharing, network.info)
The new proposed hyperparameter values for the binomial prior.
Gives the index of the parameter that has changed.
Type of information sharing among nodes:
The network information as collected by
This function returns a number greater than zero which represents the ratio of binomial priors.
For information about the binomial 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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