3 papers
stat.ME2026
Inference for subgraph densities in noisy dynamic networks
Peter W. MacDonald, Eric D. Kolaczyk
In this work we develop statistical methodology to estimate and perform inference on subgraph densities using time-indexed, or dynamic network sequences. These estimates explicitly…
math.ST2026
Autoregressive networks with dependent edges
Jinyuan Chang, Qin Fang, Eric D. Kolaczyk +2
We propose an autoregressive framework for modelling dynamic networks with dependent edges. It encompasses models that accommodate, for example, transitivity, degree heterogenenity…
stat.ME2025
Minority representation and fairness in network ranking: An application to school contact diary data
Hui Shen, Peter W. MacDonald, Eric D. Kolaczyk
Considerations of bias, fairness and representation are a prerequisite of responsible modern statistics. In statistical network analysis, observed networks are often incomplete or…