most citedD-STEM v2: A Software for Modelling Functional Spatio-Temporal Data

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2022

A simulation framework for statistical inference on the alerting capabilities of smartphone-based earthquake early warning systems. With a case study on the Earthquake Network system in Haiti

Francesco Finazzi, Frank Yannick Massoda Tchoussi

Smartphone-based earthquake early warning systems implemented by citizen science initiatives are characterized by a significant variability in their smartphone network geometry. Th…

stat.AP2022

A statistical approach for controlling the probability of false alarm and missed detection in smartphone-based earthquake early warning systems

Frank Yannick Massoda Tchoussi, Francesco Finazzi

Smartphone-based earthquake early warning systems (EEWS) are emerging as a complementary solution to classic EEWS based on expensive scientific-grade instruments. Smartphone-based…

stat.AP2022

Replacing discontinued Big Tech mobility reports: a penetration-based analysis

Francesco Finazzi

People mobility data sets played a role during the COVID-19 pandemic in assessing the impact of lockdown measures and correlating mobility with pandemic trends. Two global data set…

physics.geo-ph2021

"Shaking in 5 seconds!" A Voluntary Smartphone-based Earthquake Early Warning System

Rémy Bossu, Francesco Finazzi, Robert Steed +2

Public earthquake early warning systems have the potential to reduce individual risk by warning people of an incoming tremor but their development has been hampered by costly infra…

stat.ME20212 cited

D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data

Yaqiong Wang, Francesco Finazzi, Alessandro Fassò

Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB D-STEM v1…