Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?
Not on the map. Why?
Abstract (arXiv)
This article applies a long short-term memory recurrent neural network to mortality rate forecasting. The model can be trained jointly on the mortality rate history of different countries, ages, and sexes. The RNN-based method seems to outperform the popular Lee-Carter model.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 12 Sep 2019.
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