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.
Credit Hours:
3.0
Typical Offerings: every SP
Recent Syllabi
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