Author: Girardi, Paolo; Greco, Luca; Mameli, Valentina; Musio, Monica; Racugno, Walter; Ruli, Erlis; Ventura, Laura
Title: Robust inference for nonlinear regression models from the Tsallis score: application to COVIDâ€19 contagion in Italy Cord-id: bmppif8g Document date: 2020_8_12
ID: bmppif8g
Snippet: We discuss an approach of robust fitting on nonlinear regression models, both in a frequentist and a Bayesian approach, which can be employed to model and predict the contagion dynamics of COVIDâ€19 in Italy. The focus is on the analysis of epidemic data using robust doseâ€response curves, but the functionality is applicable to arbitrary nonlinear regression models.
Document: We discuss an approach of robust fitting on nonlinear regression models, both in a frequentist and a Bayesian approach, which can be employed to model and predict the contagion dynamics of COVIDâ€19 in Italy. The focus is on the analysis of epidemic data using robust doseâ€response curves, but the functionality is applicable to arbitrary nonlinear regression models.
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