Regression and Applied Time Series

Undergraduate catalogue

An introduction to popular statistical approaches in regression and time series analysis. Topics will include theoretical aspects and practical considerations of linear, nonlinear, and nonparametric modeling (kernels, neural networks, and decision trees). Prerequisites: ORF 245 and ORF 309 or instructor's permission. Two lectures, one lab, and one precept.