Timing and spatial selection bias in rapid extreme event attribution
Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating “trigger event”, whose occurrence corresponds to a stopping rule. Intuition suggests tha...
Main Authors: | Ophélia Miralles, Anthony C. Davison |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | Weather and Climate Extremes |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2212094723000373 |
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