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Statistical Learning and Sparsity

Professor Robert Tibshirani, Stanford University

I will review the lasso method for high dimensional supervised learning and discuss some new developments in the area, including the Pliable Lasso, and post-selection inference for understanding the important features. I will also describe some applications of these methods to my own collaborative work, including prediction of platelet usage at Stanford Hospital.

Talk slides