A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases
Description
Future state prediction for nonlinear dynamical systems is a challenging task. Classical prediction theory is based on a, typically long, sequence of prior observations and is rooted in assumptions on statistical stationarity of the underlying
