Statistical Modeling

Catalog description

A selection of the main techniques for statistical modeling will be investigated including, but not limited to, linear regression, linear discriminant analysis, K nearest neighbors, decision trees, support vector machines and neutral networks. The mathematical justification and statistical properties of each of these methods will be considered. A variety of applications will be addressed and current software will be applied. Each student will complete a semester project.