sampleDelta2 {EDISON} | R Documentation |
This function samples the signal-to-noise hyperparameter delta squared.
sampleDelta2(pos, x, q, B, S, sig2, alphad2, betad2)
pos |
The current segment. |
x |
Data, |
q |
Number of nodes. |
B |
Regression coefficients. |
S |
Network structure. |
sig2 |
Sigma squared. |
alphad2 |
Gamma prior hyperparameter. |
betad2 |
Gamma prior hyperparameter. |
New sample of delta squared.
Sophie Lebre
For details of the sampling, 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.