Multivariate Analysis and Statistical Learning for Network Data

Catalog description

Credits 3. 3 Lecture Hours. Multivariate analysis and statistical learning for analyzing network data; conduct exploratory and visualization analyses, formulate probabilistic models for graphs, perform statistical inference and computational methods; understand fundamental theoretical concepts, and resolve applications to challenges arising in real data problems. Prerequisites: Graduate classification or approval of instructor.