James Xenakis
STAT 139 | Fall 2025 | Course Listing | Canvas Site
Tuesday & Thursday, 10:30 AM – 11:45 AM
An in-depth introduction to statistical methods with linear models and related methods. Topics include group comparisons (t-based methods, non-parametric methods, bootstrapping, analysis of variance), linear regression models and their extensions (ordinary least squares, ridge, LASSO, weighted least squares, multi-level models), model checking and refinement, model selection, cross-validation. The probabilistic basis of all methods will be emphasized.
Recommended Prep: Statistics 110 and Math 21a and 21b or equivalent (Math 21b can be taken concurrently). Statistics 111 and some familiarity with R are recommended.