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Detecting extreme event-driven causality

delete2025-08-27
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PRE
AI
S
Siyang Yu
Y
Yu Huang
付遵涛 (Zuntao Fu) *
DOI:10.1016/j.chaos.2025.117138delete
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Abstract

Abstract

En 中文
• A novel causality detecting method is proposed to detect and quantify event-to-event coupling. • The proposed method works better for causality detecting between extreme events. • In event-to-event causality detecting, full measurements outperform partial ones.
Keywords:
causality detection
extreme events
event-to-event coupling
full measurements
partial measurements

Journal

C
Chaos Solitons and Fractals
IF:
5.6
Papers:
1.3K
Citations:
3.8W

Organization

P
peking university
Scholars:
11.8W
Papers: 8.7W
Citations: 146
T
Technical University of Munich
Scholars:
5.2W
Papers: 3.9W
Citations: 6.2W