High-Dimensional Probability and Statistics

4 credits

Concentration inequalities, Markov processes and ergodicity, martingale inequalities, empirical processes, sparse linear models in high dimensions, principal component analysis in high dimensions, estimation of large covariance matrices. Prerequisites: none. Restricted to DSC-MS-001 and DSC-PhD-001 students.