Grouped multivariate functional time series method: An application to mortality forecasting, in Functional Statistics and Related Fields

Hanlin Shang, Yang Yang

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    Age-specific mortality rates are often disaggregated by different attributes, such as sex and state. Forecasting age-specific mortality rates at the sub-national levels may not add up to the forecasts at the national level. Further, the independent forecasts may not utilize correlation among sub-populations to improve forecast accuracy. Using Japanese mortality data, we extend the grouped univariate functional time series methods to grouped multivariate functional time series forecasting methods
    Original languageEnglish
    Title of host publicationFunctional Statistics and Related Fields
    EditorsGermán AneirosEnea G. BongiornoRicardo CaoPhilippe Vieu
    Place of PublicationSpringer, Cham
    PublisherSpringer
    Pages233-241pp
    Volume1
    Edition1
    ISBN (Print)9783319558455
    DOIs
    Publication statusPublished - 2017

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