2 papers
stat.ME2026
Exchangeable random permutations with an application to Bayesian graph matching
Francesco Gaffi, Nathaniel Josephs, Lizhen Lin
We introduce a general Bayesian framework for graph matching grounded in a new theory of exchangeable random permutations. Leveraging the cycle representation of permutations and t…
stat.ME2025
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs, Arash A. Amini, Marina Paez +1
We introduce the nested stochastic block model (NSBM) to cluster a collection of networks while simultaneously detecting communities within each network. NSBM has several appealing…