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, ...

This is not the same as the generalized linear model dispersion , but it is an additional distribution parameter that must be estimated or set to a fixed value.

is the degrees of freedom associated with each parameter estimate. There is one degree of freedom unless the model is not full rank. In this case, any parameter that is confounded with previous ...

Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals. Model choice, fitting and validation. The use ...