Matrix Algebra Review

In this video, ‪@centerstat‬ instructors Patrick Curran & Dan Bauer provide a review of matrix algebra concepts and operations that commonly appear in multivariate statistics. It is important to have some familiarity with matrix algebra when learning and applying multivariate models for several reasons: models are often expressed in matrix notation, software often references model matrices in output, and some things in multivariate statistics are really best understood with reference to matrix operations. In this video, Patrick and Dan provide a guided tour of this foreign land, imparting conceptual meaning to matrix operations, offering humorous and semi-pertinent anecdotes, and occasionally bickering good naturedly with one another. We hope you will find this material to be of some use as you learn and apply multivariate statistics of various kinds. An annotated copy of the slides to accompany this video can be downloaded from https://centerstat.org/matrix-review/