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04/27/2023
A novel Bayesian Spatio-Temporal model for the disease infection rate of COVID-19 cases in England
The Covid-19 pandemic has provided many modeling challenges to investiga...
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04/14/2023
Finite mixtures in capture-recapture surveys for modelling residency patterns in marine wildlife populations
In this work, the goal is to estimate the abundance of an animal populat...
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06/09/2021
Spatial modelling of COVID-19 incident cases using Richards' curve: an application to the Italian regions
We introduce an extended generalised logistic growth model for discrete ...
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01/05/2021
Bayesian hierarchical modeling and analysis for physical activity trajectories using actigraph data
Rapid developments in streaming data technologies are continuing to gene...
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10/23/2020
Nowcasting COVID-19 incidence indicators during the Italian first outbreak
A novel parametric regression model is proposed to fit incidence data ty...
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04/29/2020
A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
A self-exciting spatio-temporal point process is fitted to incident data...
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12/08/2019
