3 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.CO2021★ 2 cited
Statistical Network Analysis with Bergm
Alberto Caimo, Lampros Bouranis, Robert Krause +1
Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) emerge…
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…
stat.AP2010★ 2 cited
Bayesian inference for exponential random graph models
Alberto Caimo, Nial Friel
Exponential random graph models are extremely difficult models to handle from a statistical viewpoint, since their normalising constant, which depends on model parameters, is avail…