5 papers
Bayesian spatio-temporal exposure modelling of air pollution in Rome, Italy, and short-term effects on cause-specific mortality
Edoardo Rosci, Giovanna Jona Lasinio, Paola Michelozzi +1
Assessing fine-scale spatio-temporal air pollution contrasts in urban contexts is a major challenge for environmental epidemiology. We propose a Bayesian spatio-temporal model to p…
Scalable model selection for count time series with structural breaks: application to solid-organ transplantation during and after COVID-19 in the USA and Italy
Tobia Filosi, Emiliano Ceccarelli, Emilio Porcu +7
Weekly healthcare activity data are typically non-negative counts with temporal dependence and occasional system-wide disruptions, settings in which Gaussian time-series models may…
A two-stage approach to heat-mortality risk assessment comparing multiple exposure-to-temperature models: the case study in Lazio, Italy
Emiliano Ceccarelli, Jorge Castillo-Mateo, Sandra GudžiÅ«naitÄ +3
This study investigates how different spatiotemporal temperature models affect the estimation of heat-related mortality in Lazio, Italy (2008--2022). First, we compare three method…
Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio +4
Understanding the spatial distribution of Holothurians is an essential task for ecosystem monitoring and sustainable management, particularly in the Mediterranean habitats. However…
Bayesian size-and-shape regression modelling
Antonio Di Noia, Gianluca Mastrantonio, Giovanna Jona Lasinio
Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks. Our proposal fits…