Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

is the deviance divided by its associated degrees of freedom. When the scale parameter is a constant specified in the method dialog, or when the response has a Poisson or binomial distribution, the ...