Calculates the MH ratio of the binomial prior.

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Description

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.

Usage

1
BinoHyperRatio(params.proposed, changed, node.sharing, network.info)

Arguments

params.proposed

The new proposed hyperparameter values for the binomial prior.

changed

Gives the index of the parameter that has changed.

node.sharing

Type of information sharing among nodes: 'soft' or 'hard'.

network.info

The network information as collected by CollectNetworkInfo.

Value

This function returns a number greater than zero which represents the ratio of binomial priors.

Author(s)

Frank Dondelinger

References

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.

See Also

BinoHyperMove

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