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1 Ergebnisse
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Extremal event graphs: A (stable) tool for analyzing noisy ..:
Belton, Robin
;
Cummins, Bree
;
Gedeon, Tomáš
.
Robin Belton, Bree Cummins, Tomáš Gedeon, Brittany Terese Fasy. Extremal event graphs: A (stable) tool for analyzing noisy time series data. Foundations of Data Science, 2023, 5(1): 81-151. doi:10.3934/fods.2022019. , 2023
Link:
https://scholarworks.montana.edu/xmlui/handle/1/17720
RT Journal T1 <Title>Extremal event graphs: A (stable) tool for analyzing noisy time series data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftmontanastateu:oai:scholarworks.montana.edu:1_17720&Exemplar=1&LAN=DE A1 Belton, Robin A1 Cummins, Bree A1 Gedeon, Tomáš A1 Fasy, Brittany Terese PB American Institute of Mathematical Sciences YR 2023 K1 time series K1 topological data analysis K1 stability K1 directed graphs K1 biological networks JF Robin Belton, Bree Cummins, Tomáš Gedeon, Brittany Terese Fasy. Extremal event graphs: A (stable) tool for analyzing noisy time series data. Foundations of Data Science, 2023, 5(1): 81-151. doi:10.3934/fods.2022019 LK http://dx.doi.org/https://scholarworks.montana.edu/xmlui/handle/1/17720 DO https://scholarworks.montana.edu/xmlui/handle/1/17720 SF ELIB - SuUB Bremen
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