Network Data Analysis and Graphical Models Credit Hours: 3 Network structures are increasingly common across the sciences, such as brain connectivity, gene-gene interaction, protein-protein interaction, the spread of diseases, social networks, etc. This course will introduce state-of-the-art concepts and algorithms concerning networks in statistics and machine learning. The presentation will entail a conscious balance of concepts, algorithms, and applications Prerequisites: STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6420 or STAT 8200 or permission of department Semester Offered: Fall Spring Summer Level: Graduate
