A note on smoothing parameter selection for penalized spline smoothing

By Goeran Kauermann. 2005

80 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/abc5d6ad9608433a29ee4d1c35296b3eab5d3649

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Tatyana Krivobokova
2. Goeran Kauermann

In Statistics and Probability

1. Tatyana Krivobokova
2. Goeran Kauermann
3. Simon N. Wood
4. Seth J. Schwartz

Citations in the corpus

• A Note on Penalized Spline Smoothing With Correlated Errors (2007, methodology): “(Note that the REML estimate clearly exhibits less variability, which is, however, not discussed further in this article; see also Kauermann 2005.)”
• Smoothing parameter selection for a class of semiparametric linear models (2009, unknown): “In agreement with these observations, Kauermann (2005), employing somewhat different assumptions, showed that Âreml has lower variance than the smoothing parameter chosen by the Cp-criterion, which is asymptotically equivalent to GCV (see Kou (2004)).”