The course is based on the second part of Lectures of Professor Emmanuel J. Candes from Stanford University. His generosity in sharing course materials is highly appreciated.
Lectures of Professor Candes.
Lab problems.
Stein's Unbiased Risk Estimator by Ryan Tibshirani and Larry Wasserman.
Estimation of the vector of means under correlation by Mary Ellen Bock.
Asymptotic minimaxity of BH by Felix Abramovich, Yoav Benjamini, David Donoho and Iain Johnstone.
Asymptotic optimality of BH in the context of classification risk by M.B, Arijit Chakrabarti, Florian Frommlet and Jayanta Ghosh.
Comparison of BH with some Bayesian rules for multiple testing by M.B, Jayanta Ghosh and Surya Tokdar.