Statistical Methodology

1 Course Unit

This is a course that prepares 1st year PhD students in statistics for a research career. This is not an applied statistics course. Topics covered include: linear models and their high-dimensional geometry, statistical inference illustrated with linear models, diagnostics for linear models, bootstrap and permutation inference, principal component analysis, smoothing and cross-validation. Fall Prerequisite: STAT 4310 OR STAT 5200 1 Course Unit