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Maximum Likelihood in a Generalized Linear Finite Mixture Model by Using the EM Algorithm

A generalized linear finite mixture model and an EM algorithm to fit the model to data are described. By this approach the finite mixture model is embedded within the general framework of generalized ...
JSTOR Daily

Variable selection and estimation in generalized linear models with the seamless L₀ penalty

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 40, No. 4, Special Issue in Honour of Mary Thompson (December/décembre 2012), pp. 745-769 (25 pages) In this paper, we ...
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DTSA 5013 Generalized Linear Models and Nonparametric Regression

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, ...