Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

Course TopicsIn many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two ...

Generalized linear mixed model We use a binomial trait as an example to demonstrate the new methodology, although the method can be applied to other discrete traits. Let yj be the number of events ...

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 ...

This article studies global testing of the slope function in functional linear regression models. A major challenge in functional global testing is to choose the dimension of projection when ...

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 ...