4 papers
R Package iglm: Regression under Interference in Connected Populations
Cornelius Fritz, Michael Schweinberger
We introduce R package iglm, which implements a comprehensive framework for studying relationships among predictors and outcomes under interference. The implemented regression fram…
Scalable Sample-to-Population Estimation of Hyperbolic Space Models for Hypergraphs
Cornelius Fritz, Yubai Yuan, Michael Schweinberger
Hypergraphs are useful mathematical representations of overlapping and nested subsets of interacting units, including groups of genes or brain regions, economic cartels, political…
A regression framework for studying relationships among attributes under network interference
Cornelius Fritz, Michael Schweinberger, Subhankar Bhadra +1
To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and inter…
Vulnerability Webs: Systemic Risk in Software Networks
Cornelius Fritz, Co-Pierre Georg, Angelo Mele +1
Software development relies on code reuse to minimize costs, creating vulnerability risks through dependencies with substantial economic impact, as seen in the Crowdstrike and Hear…