Variable Selection in Joint Generalized Linear Models

We focus on variable selection in this paper, and propose a variable selection criterion based on the extended quasi-likelihood which is for joint generalized linear models with structured dispersions. The new criterion is an extension of Akaike's information criterion. Its performance is investigated through simulation studies and a real data application.