We present a group lasso procedure for generalized linear models (GLMs) and we study the properties of this estimator applied to sparse high-dimensional GLMs. Under general conditions on the ...

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

With the development of the artificial intelligent technology, intelligent distribution load forecasting technology has been paid much attention. Based on the Generalized Linear Model, this article ...