Multivariate Analysis
Matrix normal distribution; Matrix quadratic forms; Matrix derivatives; The Fisher scoring algorithm. Multivariate analysis of variance; Random coefficient growth models; Principal components; Factor analysis; Discriminant analysis; Mixture models.
Prereq: 6802 (622), or permission of instructor. Not open to students with credit for 755 or 756.
Prereq: 6802 (622), or permission of instructor. Not open to students with credit for 755 or 756.
Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.
Recent Syllabi
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