paper

L_2 Differentiability of Generalized Linear Models

arXiv:1407.5798 · doi:10.1016/j.spl.2014.11.020

Abstract

We derive conditions for differentiability of generalized linear models with error distributions not necessarily belonging to exponential families, covering both cases of stochastic and deterministic regressors. These conditions induce smoothness and integrability conditions for corresponding GLM-based time series models.

10 pages