Selected article for: "cross validation and generalised cross validation"
Author: Moritz Mercker; Uwe Betzin; Dennis Wilken
Title: What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany
  • Document date: 2020_4_17
    • ID: 09nvausz_39
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.20064501 doi: medRxiv preprint Figure 4 . Spatial distribution of the three β-values. First row: raw data, second row: GAMM-smooth (where the number k of spatial knots has been forced to be k = 35), third row: GAMM-smooth (where the optimal number k has been estimated via generalised cross-validation)......
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.20064501 doi: medRxiv preprint Figure 4 . Spatial distribution of the three β-values. First row: raw data, second row: GAMM-smooth (where the number k of spatial knots has been forced to be k = 35), third row: GAMM-smooth (where the optimal number k has been estimated via generalised cross-validation).

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