Media Summary: Unfortunately, the blackboard was not recorded. A lot was written on the board which is not available in the video. Minimax lower bounds: - Application of Fano's inequality - Yang and Barron inequality. Uh splash linear models for regression um and hopefully you have a good idea what some of these
Stats 200c High Dimensional Statistics - Detailed Analysis & Overview
Unfortunately, the blackboard was not recorded. A lot was written on the board which is not available in the video. Minimax lower bounds: - Application of Fano's inequality - Yang and Barron inequality. Uh splash linear models for regression um and hopefully you have a good idea what some of these Date: 5/24 Nonparametric regression: - Performance bound for the projection estimator - Rates of the projection estimator over a ... Normal means model: ** Critical inequality and critical radius ** Critical radius for prediction in sparse linear model ** Critical ... 5/17/22 - Introduction to non-parametric regression - Normal means model - Projection estimator in the normal means model.
5/12/22 - Estimating structured covariance matrices - \ell_0 sparse covariance matrices - \ell_q sparse covariance matrices No ... The audio was not recorded, unfortunately. 00:00 Recap 04:57 Covariance estimation in Other questions so this gives you a full proof uh Date: 5/26 Minimax lower bounds: - Reduction to Bayesian hypothesis testing - Fano's inequality (No sound unfortunately)
