Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy

04/07/2020

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by   Paolo Girardi, et al.

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We discuss an approach for fitting robust nonlinear regression models, which can be employed to model and predict the contagion dynamics of the Covid-19 in Italy. The focus is on the analysis of epidemic data using robust dose-response curves, but the functionality is applicable to arbitrary nonlinear regression models.