Dynamics identification and forecasting of COVID-19 by switching Kalman filters
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DOI: 10.1007/s00466-020-01911-4
Abstract: The COVID-19 pandemic has captivated scientific activity since its early days. Particular attention has been dedicated to the identification of underlying dynamics and prediction of future trend. In this work, a switching Kalman filter formalism… read more here.
Keywords: dynamics identification; identification forecasting; covid switching; identification ... See more keywords