Generalized Additive Models
These functions are estimated in a nonparametric fashion. Generalized additive models extend traditional linear models in another way, namely by allowing for a link between f.X1;:::;Xp/and the expected value of Y. This amounts to allowing for an alternative distribution for the underlying random variation besides just the normal distribution.
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