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11:00

[Academic Events] Matteo Sesia (Stanford) : “New tools for reproducible variable selection with knockoffs”

December 19 @ 11:00 - 13:00

Abstract Model-X knockoffs is a new statistical framework that allows the scientist to investigate the relationship between a response of interest and hundreds or thousands of explanatory variables. In particular, model-X knockoffs can be used to identify a subset of important variables from a larger pool that could potentially explain a phenomenon under study while rigorously controlling the…

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