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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. · 0 citations

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