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stat.ME2023
New Methods for Network Count Time Series
Hengxu Liu, Guy Nason
The original generalized network autoregressive models are poor for modelling count data as they are based on the additive and constant noise assumptions, which is usually inapprop…
stat.ME2023★ 1 cited
New tools for network time series with an application to COVID-19 hospitalisations
Guy Nason, Daniel Salnikov, Mario Cortina-Borja
Network time series are becoming increasingly important across many areas in science and medicine and are often characterised by a known or inferred underlying network structure, w…