3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.AP2016
Stable Exponential Random Graph Models with Non-parametric Components for Large Dense Networks
Stephanie Thiemichen, Göran Kauermann
Exponential Random Graph Models (ERGM) behave peculiar in large networks with thousand(s) of actors (nodes). Standard models containing two-star or triangle counts as statistics ar…
stat.AP2014★ 3 cited
Bayesian Exponential Random Graph Models with Nodal Random Effects
Stephanie Thiemichen, Nial Friel, Alberto Caimo +1
We extend the well-known and widely used Exponential Random Graph Model (ERGM) by including nodal random effects to compensate for heterogeneity in the nodes of a network. The Baye…