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 language | English |
|---|---|
| Title of host publication | Functional Statistics and Related Fields |
| Editors | Germán AneirosEnea G. BongiornoRicardo CaoPhilippe Vieu |
| Place of Publication | Springer, Cham |
| Publisher | Springer |
| Pages | 233-241pp |
| Volume | 1 |
| Edition | 1 |
| ISBN (Print) | 9783319558455 |
| DOIs | |
| Publication status | Published - 2017 |
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