STT 3860 - Introduction to Statistical Modeling (3)

When Offered: Spring
A continuation of STT 2860 with an emphasis on statistical modeling and reproducible reporting using professional tools. Hypothesis testing will be introduced via resampling, and estimation will be introduced via bootstrapping. Cross-validation will be used to evaluate and select models that take into account the bias-variance trade-off. Supervised learning techniques will include linear regression, regression trees, classification trees, and random forests. Unsupervised learning techniques will include hierarchical clustering, k-means, and if time permits an introduction to principal components.
Prerequisites: STT 2860 and one of the following: STT 2810, STT 2820, or STT 3850.