Generalized Linear Models

This course examines extensions and generalizations of the linear regression model. Specifically, methods for fitting and evaluating logistic, multinomial, and count response models are presented using examples from a wide variety of fields. Bootstrapping, cross-validation and penalized estimation are woven throughout the coverage.