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