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EDISON (version 1.1.1)

updateSigSolo: Sample new values for sigma squared.

Description

This function samples new values for the sigma squared variances, given the current network structure. A univariate distribution is assumed.

Usage

updateSigSolo(X, Y, E, Sall, Ball, Sig2, Mphase, alphad2, betad2, v0, gamma0)

Arguments

X
Input response data.
Y
Input target data.
E
Changepoints.
Sall
Network structure.
Ball
Regression coefficients.
Sig2
Current sigma squared.
Mphase
Segment position.
alphad2
Gamma prior hyperparameter.
betad2
Gamma prior hyperparameter.
v0
Inverse gamma prior hyperparameter.
gamma0
Inverse gamma prior hyperparameter.

Value

Returns the new samples sigma squared values.

References

For more information about the model, see:

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

updateSigMulti