mortality models. The framework we adopt is to reinterpret popular mortality models such as the Lee-Carter class of models in a … general state-space modelling methodology, which allows modelling, estimation and forecasting of mortality under a unified … inference. We then develop a novel class of Bayesian state-space models which incorporate apriori beliefs about the mortality …

I adapt Schmertmann's Calibrated Spline method to the problem of estimating a complete mortality schedule from abridged … data. I demonstrate its ability to fit the range of mortality profiles seen across the epidemiological transition. I find …

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

mortality rates with a generalization of the Lee-Carter model including cohorts. Bayesian parameter shrinkage has some practical …

Mortality is different across countries, states and regions. Several empirical research works however reveal that … mortality trends exhibit a common pattern and show similar structures across populations. The key element in analyzing mortality … the empirical findings, we make the study of estimating and forecasting mortality rates based on a semi …