Preprint
Aug 2026
Empirical-Bayes Elastic-Net Computation for Exponential Random Graph Models
This work introduces BERGM Elastic Net, an adaptive empirical-Bayes approach that combines lasso shrinkage with ridge stabilization in a Bayesian ERGM that is developed for over-specified network models containing many related structural and covariate effects.
Dan Han, Vicki Modisette, Tinghan Li et al.
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