论文标题
带有花样的回归模型的模型选择标准和结的自动定位
Model selection criteria for regression models with splines and the automatic localization of knots
论文作者
论文摘要
在本文中，我们提出了一种模型选择方法，以使用带有变节数量的样条拟合回归模型。我们引入了一个惩罚标准，以估计结的锚定数量和位置。该方法在模拟数据上进行评估，并应用于Covid-19的每日报道的短期预测病例。
In this paper we propose a model selection approach to fit a regression model using splines with a variable number of knots. We introduce a penalized criterion to estimate the number and the position of the knots where to anchor the splines basis. The method is evaluated on simulated data and applied to covid-19 daily reported cases for short-term prediction.
