502 citations · 1.3k across the 19 of their papers we have counts for
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stat.ME2017★ 81 cited
Exponential-Family Models of Random Graphs: Inference in Finite-, Super-, and Infinite Population Scenarios
Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts +1
Exponential-family Random Graph Models (ERGMs) constitute a large statistical framework for modeling sparse and dense random graphs, short- and long-tailed degree distributions, co…
math.ST2017★ 2 cited
A note on the role of projectivity in likelihood-based inference for random graph models
Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts
There is widespread confusion about the role of projectivity in likelihood-based inference for random graph models. The confusion is rooted in claims that projectivity, a form of m…