Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model

Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model

Abstract Background Mortality forecasting is a critical component in various fields, including public health, insurance, and pension planning, where accurate predictions are essential for informed decision-making. This study introduces an innovative hybrid approach that combines the classical Lee–Ca...

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Bibliographic Details
Main Authors: Samuel Asante Gyamerah, Aaron Akyea Mensah, Clement Asare, Nelson Dzupire
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Bulletin of the National Research Centre
Subjects:
Mortality forecasting
Lee–Carter model
Stack ensemble
Machine learning
Hybrid approach
Online Access:https://doi.org/10.1186/s42269-023-01138-2

Internet

https://doi.org/10.1186/s42269-023-01138-2

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