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This document introduces network autoregressive integrated moving average (NARIMA) processes for analyzing network time series, which are multivariate time series enhanced by a graph structure. NARIMA models effectively handle dynamic networks with changing node connections and incorporate trend removal through network differencing. The authors demonstrate these techniques using a case study on mumps cases in England and Wales, highlighting the advantages of NARIMA in capturing complex relationships in netw

Author

guangyahao1999

Language

EN