Abstract
A Generalized Additive Model (GAM) is a Generalized Linear Model in which the linearity in the linear predictor is relaxed; it is specified in terms of a sum of smooth functions of predictor variables. Various techniques can be employed for actually fitting a generalized additive model, such as the back fitting. Another approach that for fitting a GAM is by using regression splines and a …