sampleDelta2: Sample delta squared.

In EDISON: Network Reconstruction and Changepoint Detection

Description

This function samples the signal-to-noise hyperparameter delta squared.

Usage

sampleDelta2(pos, x, q, B, S, sig2, alphad2, betad2)

Arguments

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.

Value

New sample of delta squared.

Author(s)

Sophie Lebre

References

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.

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