Table 6 Results of BALERGM using formula y \(\sim\) edges + nodematch(“Grade”) + nodematch(“Wealth”)
From: Hierarchical Bayesian adaptive lasso methods on exponential random graph models
BALERGM result for parameter selection | ||||
|---|---|---|---|---|
Estimate Mean | SD | Naive SE | Time-series SE | |
\(\theta _{1}\) (edges) | −4.8005296753 | 0.07659603 | 0.0001398446 | 0.001769280 |
\(\theta _{2}\) (nodematch(“Grade”)) | 2.2939927192 | 0.09614381 | 0.0001755338 | 0.002292080 |
\(\theta _{3}\) (nodematch(“Wealth”)) | 0.0001696885 | 0.01967663 | 0.0000359245 | 0.000151961 |