Using extremal events to characterize noisy time series

DOI10.1007/s00285-020-01471-4zbMath1434.37044OpenAlexW3004414200WikidataQ89485717 ScholiaQ89485717MaRDI QIDQ2303748

Eric Berry, Tomáš Gedeon, Bree Cummins, Steven B. Haase, Lauren M. Smith, Robert R. Nerem

Publication date: 5 March 2020

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://scholarworks.montana.edu/xmlui/handle/1/16356

zbMATH Keywords

time seriespartial ordersmerge treesorder of extrema

Mathematics Subject Classification ID

Partial orders, general (06A06) Time series analysis of dynamical systems (37M10)

Related Items (2)

A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets ⋮ Extremal event graphs: a (stable) tool for analyzing noisy time series data

Uses Software

• GitHub
• min_interval_posets
• DSGRN

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