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stat.AP2026
A Koopman-PINN Framework for Epidemic Models: Parameter Inference and Forecasting
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
We propose a Koopman-enhanced physics-informed neural network (K--PINN) framework for parameter inference and forecasting in nonlinear epidemic models. This method combines Koopman…
stat.AP2025
Actuarial Analysis of an Infectious Disease Insurance based on an SEIARD Epidemiological Model
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
The growing number of infectious disease outbreaks, like the one caused by the SARS-CoV-2 virus, underscores the necessity of actuarial models that can adapt to epidemic-driven ris…