Locally adaptive regression splines

Least squares penalized regression estimates with total variation penalties are considered. It is shown that these estimators are least squares splines with locally data adaptive placed knot points. The definition of these variable knot splines as minimizers of global functionals can be used to stud...

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Bibliographic Details
Main Authors: Mammen, Enno (Author) , Geer, Sara van de (Author)
Format: Article (Journal)
Language:English
Published: 1997
In: The annals of statistics
Year: 1997, Volume: 25, Issue: 1, Pages: 387-413
ISSN:2168-8966
DOI:10.1214/aos/1034276635
Online Access:Verlag, Volltext: http://dx.doi.org/10.1214/aos/1034276635
Verlag, Volltext: https://projecteuclid.org/euclid.aos/1034276635
Verlag, Volltext: https://projecteuclid.org/download/pdf_1/euclid.aos/1034276635
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Author Notes:Enno Mammen, Sara van de Geer
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