9 citations · 15 across the 8 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.CO2019★ 1 cited
Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects
Sevag Kevork, Göran Kauermann
The presence of unobserved node specific heterogeneity in Exponential Random Graph Models (ERGM) is a general concern, both with respect to model validity as well as estimation ins…
stat.AP2019★ 3 cited
In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
Michael Lebacher, Samantha Cook, Nadja Klein +1
To capture the systemic complexity of international financial systems, network data is an important prerequisite. However, dyadic data is often not available, raising the need for…
stat.ME2019★ 9 cited
EM-Based Smooth Graphon Estimation Using Bayesian and Spline-Based Approaches
Benjamin Sischka, Göran Kauermann
This paper proposes the estimation of a smooth graphon model for network data analysis using principles of the EM algorithm. The approach considers both variability with respect to…