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

Bayesian methods furnish an attractive approach to inference in generalized linear mixed models. In the absence of subjective prior information for the random-effect variance components, these ...

This paper introduces a new array synthesis method based on back propagation (BP) neural network agent model with a training set quickly generated by fast Fourier transform. Moreover, it can be ...

In this paper, a general model is proposed for the systems that optimize the linear antenna array parameters to synthesize a desired pattern by using metaheuristic algorithms. The model consists of a ...

We propose an implementation of a generalized Su-Schrieffer-Heeger (SSH) model based on optomechanical arrays. The topological properties of the generalized SSH model depend on the effective ...

To address this question, we used the generalized linear model (GLM), a flexible generalization of linear regression that makes it possible to capture a response that is non-linear using a link ...