About: 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.   Goto Sponge  NotDistinct  Permalink

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  • 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.
subject
  • Zoonoses
  • Viral respiratory tract infections
  • Regression analysis
  • Model selection
  • Evidence
  • COVID-19
  • Actuarial science
  • Evaluation methods
  • Estimation theory
  • Mathematical and quantitative methods (economics)
  • Memory processes
  • Occupational safety and health
  • Regression variable selection
  • Scientific method
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