19 citations · 21 across the 6 of their papers we have counts for
3 papers · 1 filter
Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap
Christian S. Schmid, Bruce A. Desmarais
With the growth of interest in network data across fields, the Exponential Random Graph Model (ERGM) has emerged as the leading approach to the statistical analysis of network data…
Weighted Exponential Random graph models: Scope and large network limits
Shankar Bhamidi, Suman Chakraborty, Skyler Cranmer +1
We study models of weighted exponential random graphs in the large network limit. These models have recently been proposed to model weighted network data arising from a host of app…
Statistical Inference in Political Networks Research
Bruce A. Desmarais, Skyler J. Cranmer
Researchers interested in statistically modeling network data have a well-established and quickly growing set of approaches from which to choose. Several of these methods have been…