most citedA simple data-driven method to optimise the penalty strengths of penalised models and its application to non-parametric smoothing

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

stat.ME2022★ 16 cited

A simple data-driven method to optimise the penalty strengths of penalised models and its application to non-parametric smoothing

Jens Thomas, Mathias Lipka

Information of interest can often only be extracted from data by model fitting. When the functional form of such a model can not be deduced from first principles, one has to make a…