Simulated tests show the event-driven diffusion scaling estimate H is robust to false-positive events and actually improves for power-law inter-event distributions with mu up to 2.5, reaching 4-7% errors.
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Robustness of complexity estimation in event-driven signals against accuracy of event detection method
Simulated tests show the event-driven diffusion scaling estimate H is robust to false-positive events and actually improves for power-law inter-event distributions with mu up to 2.5, reaching 4-7% errors.