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.

Generalized linear Mixed Model Association Tests. Contribute to hanchenphd/GMMAT development by creating an account on GitHub.

Abstract: We consider the problem of estimating self-exciting generalized linear models from limited binary observations, where the history of the process serves as the covariate. We analyze the ...

Asymmetric interactions between different species of molecules have previously been demonstrated to result in self-organized patterns and functions. If one species A is attracted to B, but in turn ...