activity
20192025
most citedFinite mixtures in capture-recapture surveys for modelling residency patterns in marine wildlife populations

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ME2025

A new hierarchical distribution on arbitrary sparse precision matrices

Gianluca Mastrantonio, Pierfrancesco Alaimo Di Loro, Marco Mingione

We introduce a general strategy for defining distributions over the space of sparse symmetric positive definite matrices. Our method utilizes the Cholesky factorization of the prec…

stat.AP2023

Monitoring the West-Nile virus outbreaks in Italy using open-access data

Marco Mingione, Francesco Branda, Antonello Maruotti +2

This paper introduces a comprehensive and original database on West Nile virus (WNV) outbreaks that have occurred in Italy from September 2012 to November 2022. We have digitized b…

stat.AP2023★ 1 cited

Finite mixtures in capture-recapture surveys for modelling residency patterns in marine wildlife populations

Gianmarco Caruso, Pierfrancesco Alaimo Di Loro, Marco Mingione +3

In this work, the goal is to estimate the abundance of an animal population using data coming from capture-recapture surveys. We leverage the prior knowledge about the population's…

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.AP2021

Bayesian Hierarchical Modeling and Analysis for Actigraph Data from Wearable Devices

Pierfrancesco Alaimo Di Loro, Marco Mingione, Jonah Lipsitt +3

The majority of Americans fail to achieve recommended levels of physical activity, which leads to numerous preventable health problems such as diabetes, hypertension, and heart dis…

stat.AP2020

Nowcasting COVID-19 incidence indicators during the Italian first outbreak

Pierfrancesco Alaimo Di Loro, Fabio Divino, Alessio Farcomeni +4

A novel parametric regression model is proposed to fit incidence data typically collected during epidemics. The proposal is motivated by real-time monitoring and short-term forecas…

cs.LG2019

Adversarial Out-domain Examples for Generative Models

Dario Pasquini, Marco Mingione, Massimo Bernaschi

Deep generative models are rapidly becoming a common tool for researchers and developers. However, as exhaustively shown for the family of discriminative models, the test-time infe…