76 citations · 121 across the 11 of their papers we have counts for
12 papers
Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
Jacopo Rodeschini, Lorenzo Tedesco, Francesco Finazzi +2
This paper proposes a novel low-rank approximation to the multivariate State-Space Model. The Stochastic Partial Differential Equation (SPDE) approach is applied component-wise to…
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…
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…
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…
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…
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…
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…
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…
"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…
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…
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…
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…