We introduce a multistep-ahead forecasting methodology that combines empirical mode decomposition (EMD) and support … vector regression (SVR). This methodology is based on the idea that the forecasting task is simplified by using as input for …

Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting … forecasting point of view, the main difference between the two types of models is whether they treat recent and historical … information equally in the projection process. In this paper, we compare the forecasting performance of the two types of models …

of them forecasting future mortality rates by extrapolating one or more latent factors. The abundance of proposed models … shows that forecasting future mortality from historical trends is non-trivial. Following the idea proposed in Deprez et al … learning estimator is then forecasted according to the Lee-Carter framework, allowing one to obtain a higher forecasting …

future mortality shape. Concerning forecasting phase, academics should approach a more plausible way in order to think a …

limitation in terms of either exposure to death risk or data length. To improve forecasting robustness, we use the global …

The prediction of human longevity levels in the future by direct forecasting of life expectancy offers numerous …

be used to obtain a parsimonious and coherent predictive model for mortality forecasting. We analyze how COVID-19-type …