AUTHOR=Massoda Tchoussi Frank Yannick , Finazzi Francesco 

TITLE=A statistical methodology for classifying earthquake detections and for earthquake parameter estimation in smartphone-based earthquake early warning systems

JOURNAL=Frontiers in Applied Mathematics and Statistics

VOLUME=Volume 9 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2023.1107243

DOI=10.3389/fams.2023.1107243

ISSN=2297-4687

ABSTRACT=Smartphone-based earthquake early warning systems (EEWSs) are emerging as a complementary solution to classic EEWSs based on expensive scientific-grade instruments.
Smartphone-based systems, however, are characterized by a highly dynamic network geometry and by noisy measurements. Thus, the need to control the probability of false alarm and the probability of missed detection. 
This paper proposes a statistical approach to address this challenge and to jointly estimate in near real-time earthquake parameters like epicentre and depth.
The approach is tested using data coming from the Earthquake Network citizen science initiative which implements a global smartphone-based EEWS.