activity
20152021
most citedA Hierarchical Multivariate Spatio-Temporal Model for Large Clustered Climate data with Annual Cycles

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2021

Spatial modelling of COVID-19 incident cases using Richards' curve: an application to the Italian regions

Marco Mingione, Pierfrancesco Alaimo Di Loro, Alessio Farcomeni +4

We introduce an extended generalised logistic growth model for discrete outcomes, in which a network structure can be specified to deal with spatial dependence and time dependence…

stat.AP20171 cited

A Hierarchical Multivariate Spatio-Temporal Model for Large Clustered Climate data with Annual Cycles

Gianluca Mastrantonio, Giovanna Jona Lasinio, Alessio Pollice +4

We present a multivariate hierarchical space-time model to describe the joint series of monthly extreme temperatures and amounts of rainfall. Data are available for 360 monitoring…

q-bio.PE2017

Assessing the role of the spatial scale in the analysis of lagoon biodiversity. A case-study on the macrobenthic fauna of the Po River Delta

Giovanna Jona Lasinio, Alessio Pollice, Eric Marcon +1

The analysis of benthic assemblages is a valuable tool to describe the ecological status of transitional water ecosystems, but species are extremely sensitive and respond to both m…

stat.AP2015

Tools for predicting rainfall from lightning records: events identification and rain prediction using a Bayesian hierarchical model

Edmondo Di Giuseppe, Giovanna Jona Lasinio, Massimiliano Pasqui +1

We propose a new statistical protocol for the estimation of precipitation using lightning data. We first identify rainy events using a scan statistics, then we estimate Rainfall Li…