BinoHyperMove: Makes a binomial hyperparameter move.

In EDISON: Network Reconstruction and Changepoint Detection

Description

This function proposes a move for one of the hyperparameters of the binomial prior, calculates the acceptance probability and accepts the move accordingly.

Usage

BinoHyperMove(network.info, node.sharing, GLOBvar)

Arguments

network.info	The collected network information obtained using CollectNetworkInfo.
node.sharing	Which type of node sharing is used, either 'soft' or 'hard' sharing.
GLOBvar	Global variables of the MCMC.

Value

Returns a list with elements:

move	The move type (in this case, 2).
move.made	1 if the move was proposed, 0 otherwise.
network.info	The network information, including the new hyperparameters if the move was accepted.
accept	Whether the move was accepted or not.

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

EDISON documentation built on May 2, 2019, 2:39 a.m.