MATH 523 Generalized Linear Models (4 credits)

Note: This is the 20102011 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Mathematics and Statistics (Faculty of Science)

Overview

Mathematics & Statistics (Sci) : Modern discrete data analysis. Exponential families, orthogonality, link functions. Inference and model selection using analysis of deviance. Shrinkage (Bayesian, frequentist viewpoints). Smoothing. Residuals. Quasi-likelihood. Sliced inverse regression. Contingency tables: logistic regression, log-linear models. Censored data. Applications to current problems in medicine, biological and physical sciences. GLIM, S, software.

Terms: Winter 2011

Instructors: David Stephens (Winter)

  • Winter
  • Prerequisite: MATH 423 or EPIB 697
  • Restriction: Not open to students who have taken MATH 426