Selected Topics in Statistical Decision Theory

Undergraduate

In this course we review some recent developments in statistical decision theory including nonparametric estimation, Bayesian nonparametrics, high dimensional estimation, covariance matrices estimation and Gaussian graphical models, structured matrices estimation and network analysis, analysis of iterative algorithms and overparameterization, and neural nets. Prerequisite: S&DS 410. M 9:25am-11:20am