5 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…
Causal Inference Under Network Interference
Subhankar Bhadra, Michael Schweinberger
We review the growing body of research on the challenging topic of interference in causal inference. Interference arises when the treatment assignments of connected units affect th…
Regression Model for Measurement of Wound Dimensions by Webcam Scanners and Time-of-Flight Sensors
S. B. Wibowo, A. A. Nugroho, L. Awaludin +1
One use of image processing is for medical equipment such as wound identification. This technology is carried out non-invasively by taking images so as to avoid direct touch with t…
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…