Výsledky vyhledávání - "SECS-S/02 Statistica per la ricerca sperimentale e tecnologica"

Assessing the effectiveness of the Italian risk-zones policy during the second wave of COVID-19

Autor: Matteo Pelagatti, Paolo Maranzano

Publikováno v: Health Policy (Amsterdam, Netherlands)

On 4 November 2020 the Italian government introduced a new policy to address the second wave of COVID-19. Based on a battery of indicators, the 21 administrative regions of Italy were assigned a risk level among yellow, orange, red, and, starting on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5276f63e411ec86b04879bc09045106
https://doi.org/10.1016/j.healthpol.2021.07.011

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A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies

Autor: Amitava Mukherjee, Wolfgang Kössler, Marco Marozzi

Publikováno v: Statistics in Medicine. 41:2978-3002

We propose a test for multisample comparison studies that can be applied without strict assumptions, especially when the underlying population distributions are far from normal. The new test can detect differences not only in location or scale but al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b20fe8ef77cfa0f6c4e0f4d62c07377
https://doi.org/10.1002/sim.9397

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

Autor: Finazzi, Francesco

Publikováno v: Scientific Reports. 13

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 sets were Apple’s Mobility Trends Reports and Google’s Community Mobi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::963f45c553f560cb11947b5f3ac9c025
https://doi.org/10.1038/s41598-023-28137-7

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Assessing the performance of nuclear norm-based matrix completion methods on CO2 emissions data

Autor: Metulini, Rodolfo, Biancalani, Francesco, Gnecco, Giorgio, Riccaboni, Massimo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1581::75c6c756eafb5a322775a9bb6afa22ef
https://hdl.handle.net/10446/246591

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Bayesian profile regression to study the ecologic associations of correlated environmental exposures with excess mortality risk during the first year of the Covid-19 epidemic in lombardy, Italy

Autor: Eric S. Coker, John Molitor, Silvia Liverani, James Martin, Paolo Maranzano, Nicola Pontarollo, Sergio Vergalli

Many countries, including Italy, have experienced significant social and spatial inequalities in mortality during the Covid-19 pandemic. This study applies a multiple exposures framework to investigate how joint place-based factors influence spatial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d87bfc151ef83ee2173a40df4a045b1
https://hdl.handle.net/11379/564541

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Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making

Autor: Maurizio Carpita, Rodolfo Metulini

Floods are one of the natural disasters which cause the worst human, social and economic impacts to the detriment of both public and private sectors. Today, public decision-makers can take advantage of the availability of data-driven systems that all

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36fd6d45b4a8976c57e6157bafcb45ce
https://hdl.handle.net/10446/235555

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Utilization of Crowdsourced Felt Reports to Distinguish High-Impact from Low-Impact Earthquakes Globally within Minutes of an Event

Autor: Henning Lilienkamp, Rémy Bossu, Fabrice Cotton, Francesco Finazzi, Matthieu Landès, Graeme Weatherill, Sebastian von Specht

Publikováno v: The Seismic Record

Rapid assessment of an earthquake’s impact on the affected society is a crucial step in the early phase of disaster management, navigating the need for further emergency response measures. We demonstrate that felt reports collected via the LastQuak

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::949b315ac20359c326f6c17f49207f6c
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015549

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Adaptive LASSO estimation for functional hidden dynamic geostatistical models

Autor: Maranzano, Paolo, Otto, Philipp, Fassò, Alessandro

Publikováno v: Stochastic Environmental Research and Risk Assessment (SERRA) (Formerly: Stochastic Hydrology and Hydraulics) (2023), online first
Stochastic Environmental Research and Risk Assessment (SERRA) (Formerly: Stochastic Hydrology and Hydraulics)

We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models employ a classic mixed-effect regression structure with embedded spatiote

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be952a3e2fdb8f2d6e4baf676d54fd38
https://hdl.handle.net/10281/415677

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