You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

The general linear model is a further special case with Z = 0 and . The following two examples illustrate the most common formulations of the general linear mixed model.

This protocol describes how to develop linear models to predict individual behavior from brain connectivity data with proper cross-validation, and how to use an online tool to visualize the most ...

Special properties hold for the generalized linear model. Examples from a Kenyan HIV study will illustrate the points. The purpose of the Journal of Computational and Graphical Statistics is to ...

In order to accommodate this complexity we propose a Bayesian dimension-reduced spectrogram generalized linear model that directly incorporates representations of the entire phenotype (one-dimensional ...

Solving a machine-learning mystery A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data Date: February 7 ...