Seonglae ChoGAM
generalized linear model in which the linear response variable depends linearly on unknown smooth functions
Generalized additive model
In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth functions of some predictor variables, and interest focuses on inference about these smooth functions.
https://en.wikipedia.org/wiki/Generalized_additive_model