Authors’ reply to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason <i>et al</i> .

We would like to give a special thank you to Sarah Heaps and Anastasia Mantziou for their multiple insightful contributions and for

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Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2025-11-07
DOI
https://doi.org/10.1093/jrsssa/qnaf188
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Authors’ reply to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al .

Daniel Salnikov, Guy P. Nason, Mario Cortina‐Borja
Journal of the Royal Statistical Society Series A (Statistics in Society)
COVID-19 epidemiological studies
article

Authors’ reply to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al .

Daniel Salnikov, Guy P. Nason, Mario Cortina‐Borja
article en

Abstract

We would like to give a special thank you to Sarah Heaps and Anastasia Mantziou for their multiple insightful contributions and for

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 189(1)
Great Ormond Street Hospital (GB), Institute of Child Health (IN), Institute of Child Health (GR), University College London (GB), Imperial College London (GB)
Openalex Percentile: Top 63%
COVID-19 epidemiological studies
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