An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions

DOI10.1002/bimj.202000189zbMath1523.62112arXiv2005.11975OpenAlexW3109158109WikidataQ103732621 ScholiaQ103732621MaRDI QIDQ6091715

Alessio Farcomeni, Giovanna Jona Lasinio, Gianfranco Lovison, Fabio Divino, Antonello Maruotti

Publication date: 27 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.11975

zbMATH Keywords

panel dataclustered datageneralized linear mixed modelweighted ensembleCOVID-19SARS-CoV-2integer autoregressiveinteger autoregressive model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy

Cites Work

• Generalized Poisson autoregressive models for time series of counts
• Generalized autoregressive conditional heteroscedasticity
• Some recent theory for autoregressive count time series
• Generalized bivariate count data regression models
• Poisson Autoregression
• Approximate Inference in Generalized Linear Mixed Models
• Simulated maximum likelihood estimation of multivariate mixed‐Poisson regression models, with application
• Some recent progress in count time series
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