Extremal event graphs: a (stable) tool for analyzing noisy time series data

DOI10.3934/fods.2022019arXiv2203.09552OpenAlexW4312283221MaRDI QIDQ6154248

Brittany Terese Fasy, Bree Cummins, Robin Lynne Belton, Tomáš Gedeon

Publication date: 14 February 2024

Published in: Foundations of Data Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2203.09552

zbMATH Keywords

stabilitytime seriesdirected graphstopological data analysisbiological networks

Mathematics Subject Classification ID

Applications of graph theory (05C90) Persistent homology and applications, topological data analysis (55N31) Computational methods for problems pertaining to biology (92-08)

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