论文标题
来自TSALLIS分数的非线性回归模型的强大推断：在意大利的Covid-19传播中应用
Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
论文作者
论文摘要
我们讨论了一种拟合可靠的非线性回归模型的方法，该方法可用于建模和预测意大利Covid-19的传染动力学。重点是使用可靠的剂量反应曲线对流行数据的分析，但该功能适用于任意非线性回归模型。
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.
