29 citations · 53 across the 15 of their papers we have counts for
4 papers · 1 filter
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…
A two-part finite mixture quantile regression model for semi-continuous longitudinal data
Antonello Maruotti, Luca Merlo, Lea Petrella
This paper develops a two-part finite mixture quantile regression model for semi-continuous longitudinal data. The proposed methodology allows heterogeneity sources that influence…
An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions
Alessio Farcomeni, Antonello Maruotti, Fabio Divino +2
The availability of intensive care beds during the Covid-19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simpl…
A copula-based multivariate hidden Markov model for modelling momentum in football
Marius Ötting, Roland Langrock, Antonello Maruotti
We investigate the potential occurrence of change points - commonly referred to as "momentum shifts" - in the dynamics of football matches. For that purpose, we model minute-by-min…