Prerequisites: STAT 170; or equivalent; graduate standing; or consent of instructor
Description: Topics include linear regression models; correlations; fitting and prediction; diagnostics; transformations; collinearity; and influential observations. Also addresses model selection; subset selection; Bayesian model selection; regularization; shrinkage methods; and non- parametric and semi-parametric regressions.