14 citations · 20 across the 3 of their papers we have counts for
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stat.CO2016
P-splines with derivative based penalties and tensor product smoothing of unevenly distributed data
Simon N. Wood
The P-splines of Eilers and Marx (1996) combine a B-spline basis with a discrete quadratic penalty on the basis coefficients, to produce a reduced rank spline like smoother. P-spli…
stat.ML2016
Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation
Severin Hauenstein, Carsten F. Dormann, Simon N Wood
Generalised Degrees of Freedom (GDF), as defined by Ye (1998 JASA 93:120-131), represent the sensitivity of model fits to perturbations of the data. As such they can be computed fo…
stat.ME2016
A note on basis dimension selection in generalized additive modelling
Natalya Pya, Simon N Wood
Two new approaches for checking the dimension of the basis functions when using penalized regression smoothers are presented. The first approach is a test for adequacy of the basis…