MAT 355 Regression Models
This course takes a matrix-based look at regression (introduced in Mathematics 254, Statistical Models). We focus on the probabilistic reasoning behind regression, in particular inferences we can make using linear combinations of normal random variables. We also look briefly at some time series models. This course is offered in the spring semester on an irregular basis.
Prerequisite: Mathematics 223 (Linear Algebra), Mathematics 253 (Probability Models) and Mathematics 254 (Statistical Models)