There are many alternative approaches to selecting mortality models and forecasting mortality. The standard practice is … forecasts are used in mortality model selection, and model combination methods such as Bayesian Model Averaging and Model … optimally combines different mortality models to reduce the mean squared errors of mortality rate forecasts and mitigate model …

the numerical illustrations it is seen that even in situations where mortality rates are essentially log-linear as a …

The Lee-Carter model has become a benchmark in stochastic mortality modeling. However, its forecasting performance can … architecture for mortality rate forecasting, empirically compare this model as well as other neural network models to the Lee …-Carter model and find that lower forecast errors are achievable for many countries in the Human Mortality Database. We provide …