1 citations · 4 across the 7 of their papers we have counts for
8 papers
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…
Socio-demographic inequalities in the maximum human lifespan: evidence from Belgium and the Netherlands
Jens Robben, Torsten Kleinow
The existence of an upper limit to the human lifespan has been widely debated, with studies offering both supporting and opposing evidence. Existing studies typically treat this li…
A penalized distributed lag non-linear Lee-Carter framework for regional weekly mortality forecasting
Jens Robben, Karim Barigou
Accurate forecasts of weekly mortality are essential for public health and the insurance industry. We develop a forecasting framework that extends the Lee-Carter model with age- an…
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…
The short-term association between environmental variables and mortality: evidence from Europe
Jens Robben, Katrien Antonio, Torsten Kleinow
Using fine-grained, publicly available data, this paper studies the short-term association between environmental factors, i.e., weather and air pollution characteristics, and weekl…
Catastrophe Risk in a Stochastic Multi-Population Mortality Model
Jens Robben, Katrien Antonio
This paper presents an approach to incorporate mortality shocks into mortality projections produced by a stochastic multi-population mortality model. The proposed model combines a…
Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model
Jens Robben, Katrien Antonio, Sander Devriendt
We aim to assess the impact of a pandemic data point on the calibration of a stochastic multi-population mortality projection model and its resulting projections for future mortali…
A hierarchical reserving model for reported non-life insurance claims
Jonas Crevecoeur, Jens Robben, Katrien Antonio
Traditional non-life reserving models largely neglect the vast amount of information collected over the lifetime of a claim. This information includes covariates describing the pol…