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- W1964761401 abstract "Generalized additive models have become one of the most widely used modern statistical tools. Traditionally, they are fit through scatterplot smoothing and the backfitting algorithm. However, a more recent development is the direct fitting through the use of low-rank smoothers (Hastie, J. Roy. Statist. Soc. Ser. B 58 (1996) 379). A particularly attractive example of this is through use of penalized splines (Marx and Eilers, Comput. Statist. Data Anal. 28 (1998) 193). Such an approach has a number of advantages, particularly regarding computation. In this paper, we exploit the explicitness of penalized spline additive models to derive some useful and revealing theoretical approximations." @default.
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- W1964761401 date "2002-04-01" @default.
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- W1964761401 title "Some theory for penalized spline generalized additive models" @default.
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- W1964761401 doi "https://doi.org/10.1016/s0378-3758(01)00237-3" @default.
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