activity
20122025
most citedA statistical approach to crowdsourced smartphone-based earthquake early warning systems

76 citations · 121 across the 11 of their papers we have counts for

collaborators
Showing stat.APShow all

9 papers · 1 filter

stat.AP2023

Scenario analysis of livestock-related PM2.5 pollution based on a new heteroskedastic spatiotemporal model

Jacopo Rodeschini, Alessandro Fassò, Francesco Finazzi +1

The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited atmosphere circulation and high emission levels. There is broad scientific consensus that…

stat.AP2023★ 2 cited

Spatiotemporal modelling of PM concentrations in Lombardy (Italy) -- A comparative study

Philipp Otto, Alessandro Fusta Moro, Jacopo Rodeschini +7

This study presents a comparative analysis of three predictive models with an increasing degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive mi…

stat.AP2023

Survival modelling of smartphone trigger data for earthquake parameter estimation in early warning. With applications to 2023 Turkish-Syrian and 2019 Ridgecrest events

Luca Aiello, Raffaele Argiento, Francesco Finazzi +1

Crowdsourced smartphone-based earthquake early warning systems recently emerged as reliable alternatives to the more expensive solutions based on scientific-grade instruments. For…

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★ 37 cited

Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy

Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro +7

The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that…

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…

stat.AP2015★ 76 cited

A statistical approach to crowdsourced smartphone-based earthquake early warning systems

F. Finazzi, A. Fassò

The Earthquake Network research project implements a crowdsourced earthquake early warning system based on smartphones. Smartphones, which are made available by the global populati…

stat.AP2012★ 4 cited

Geostatistical modeling in the presence of interaction between the measuring instruments, with an application to the estimation of spatial market potentials

Francesco Finazzi

This paper addresses the problem of recovering the spatial market potential of a retail product from spatially distributed sales data. In order to tackle the problem in a general w…