  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.
