DSC 242High-Dimensional Probability and Statistics
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
From the catalog: “none. Restricted to DS75 and DS76 students.”