Euclidean Mirrors and Dynamics in Network Time Series

Avanti Athreya, Zachary Lubberts, Youngser Park, Carey E. Priebe
Paper From BibTeX import
Journal of the American Statistical Association 120, pp. 1025–1036, 2025

Notes

We discuss this work at length in riva2026random as the closest prior approach: their gauge-invariant Procrustes distance and Euclidean mirror summarize network evolution well for change-point detection, but capture distances between states rather than the differential equation governing them.

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