A comparison of methods for the fitting of generalized additive models

@article{Binder2008ACO,
title={A comparison of methods for the fitting of generalized additive models},
author={H. Binder and G. Tutz},
journal={Statistics and Computing},
year={2008},
volume={18},
pages={87-99}
}

Abstract
There are several procedures for fitting generalized additive models, i.e. regression models for an exponential family response where the influence of each single covariates is assumed to have unknown, potentially non-linear shape. Simulated data are used to compare a smoothing parameter optimization approach for selection of smoothness and of covariates, a stepwise approach, a mixed model approach, and a procedure based on boosting techniques. In particular it is investigated how the… CONTINUE READING