Contents
9.1 Generalized Additive Models
9.2 Tree-Based Methods
9.3 PRIM: Bump Hunting
9.4 MARS: Multivariate Adaptive Regression Splines
9.5 Hierarchical Mixtures of Experts
9.6 Missing Data
9.7 Computational Considerations

Reference

Hastie, T., Tibshirani, R.,, Friedman, J. (2001). The Elements of Statistical Learning. New York, NY, USA: Springer New York Inc..