3 papers
stat.AP2026
Climate-Driven Mortality Forecasting Using Deep Learning
Kenrick So, Karim Barigou, Jens Robben
Climate extremes have become important drivers of mortality, producing sudden spikes that traditional mortality models fail to predict. To address this gap, we propose a two-step m…
stat.AP2025
Mortality Modeling and Forecasting with the Actuaries Climate Index
Karim Barigou, Melanie Patten, Kenneth Q. Zhou
Climate change poses increasing challenges for mortality modeling and underscores the need to integrate climate-related variables into mortality forecasting. This study introduces…
stat.AP2025
Granular mortality modeling with temperature and epidemic shocks: a three-state regime-switching approach
Jens Robben, Karim Barigou, Torsten Kleinow
This paper develops a granular regime-switching framework to model mortality deviations from seasonal baseline trends driven by temperature and epidemic shocks. The framework featu…