Madona Yunita Wijaya

Lee-Carter–ARIMA hybrid approach and machine learning for mortality rate forecasting in the United States: Implications for national defense and population risk assessment

Five hybrid approaches that combine stochastic models and machine learning, along with one non-hybrid approach, are explored to assess their potential to improve forecasting accuracy and may contribute to national defense planning and support the maintenance of demographic stability.