research
∙
03/01/2021
Spatial sampling design to improve the efficiency of the estimation of the critical parameters of the SARS-CoV-2 epidemic
The pandemic linked to COVID-19 infection represents an unprecedented cl...
share
research
∙
10/11/2020
On Spatial Lag Models estimated using crowdsourcing, web-scraping or other unconventionally collected data
The Big Data revolution is challenging the state-of-the-art statistical ...
research
∙
04/08/2020
A sample approach to the estimation of the critical parameters of the SARS-CoV-2 epidemics: an operational design with a focus on the Italian health system
Given the urgent informational needs connected with the pandemic diffusi...
research
∙
03/27/2020
Post-sampling crowdsourced data to allow reliable statistical inference: the case of food price indices in Nigeria
Sound policy and decision making in developing countries is often limite...
research
∙
03/13/2020
A Note on Early Epidemiological Analysis of Coronavirus Disease 2019 Outbreak using Crowdsourced Data
Crowdsourcing data can prove of paramount importance in monitoring and c...
research
∙
09/05/2019
Reduced-bias estimation of spatial econometric models with incompletely geocoded data
The application of state-of-the-art spatial econometric models requires ...
research
∙
04/03/2019