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.
Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
Mameli, Valentina;Ruli, Erlis;
2020-01-01
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
paper_NLNTS.pdf
non disponibili
Descrizione: Articolo principale
Tipologia:
Documento in Post-print
Licenza:
Non pubblico
Dimensione
311.24 kB
Formato
Adobe PDF
|
311.24 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
