activity
20172025
most citedSpatio-temporal circular models with non-separable covariance structure

26 citations · 52 across the 7 of their papers we have counts for

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5 papers · 1 filter

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.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…

stat.AP2020★ 7 cited

Modeling "Equitable and Sustainable Well-being" (BES) using Bayesian Networks: A Case Study of the Italian regions

Federica Onori, Giovanna Jona Lasinio

Measurement of well-being has been a highly debated topic since the end of the last century. While some specific aspects are still open issues, a multidimensional approach as well…

stat.AP2020

CircSpaceTime: an R package for spatial and spatio-temporal modeling of Circular data

Giovanna Jona Lasinio, Mario Santoro, Gianluca Mastrantonio

CircSpaceTime is the only R package currently available that implements Bayesian models for spatial and spatio-temporal interpolation of circular data. Such data are often found in…

stat.AP2017★ 1 cited

Bayesian Measurement Error Correction in Structured Additive Distributional Regression with an Application to the Analysis of Sensor Data on Soil-Plant Variability

Alessio Pollice, Giovanna Jona Lasinio, Roberta Rossi +3

The flexibility of the Bayesian approach to account for covariates with measurement error is combined with semiparametric regression models for a class of continuous, discrete and…