• Podsumowanie materialu zrealizowanego na wykladzie.

The course is based on Lectures of Professor Emmanuel J. Candes from Stanford University. His generosity in sharing course materials is highly appreciated.

• Lectures of Professor Candes.

• Lab problems.

• Punktacja na egzaminie.

• 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.

• Oceny z kolokwium