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arXiv · 2004.03187

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

Paolo Girardi·Luca Greco·Valentina Mameli·Monica Musio·Walter Racugno·Erlis Ruli·Laura Ventura
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Abstract

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.

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Paolo Girardi, Luca Greco, Valentina Mameli, Monica Musio, Walter Racugno, Erlis Ruli, Laura Ventura. 2020-04-07. Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy. https://arxiv.org/abs/2004.03187

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