future mortality shape. Concerning forecasting phase, academics should approach a more plausible way in order to think a …In the field of mortality, the Lee-Carter based approach can be considered the milestone to forecast mortality rates …-Carter model, the κ t parameter, describing the mortality trend over time, plays an important role about the future …

We present a new way to model age-specific demographic variables with the example of age-specific mortality in the U … jointly with the latent variables underlying mortality of all age classes. In contrast to previous models, a similar … particular parameter uncertainty is important for long-run forecasts. This implies that hitherto existing forecasting methods …

are mechanisms through which SES, health and mortality are related. Our model predicts a widening and possibly a …

fundamental importance. We propose a simple statistical method for short-term real-time forecasting of the number of Covid-19 …

Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting … future mortality rates. It can be argued that there are two types of mortality models using this approach. The first extracts …-parametric smoothing techniques to model mortality and thus has no explicit constraints placed on the model. We argue that from a …

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 … parameter (the machine learning estimator), improving the goodness of fit of standard stochastic mortality models. The machine …

be used to obtain a parsimonious and coherent predictive model for mortality forecasting. We analyze how COVID-19-type …Predicting the evolution of mortality rates plays a central role for life insurance and pension funds. Standard single … decomposition of the mortality surface into a polynomial basis. Then, we show how regularization techniques and cross-validation can …