A Knockoff Filter for Controlling the False Discovery Rate

A Knockoff Filter for Controlling the False Discovery Rate

Neyman Seminar
Sep 30, 2015, 04:00 PM - 05:00 PM | 60 Evans Hall | Happening As Scheduled
Emmanuel Candes, Stanford University

The big data era has created a new scientific paradigm: collect data first, ask questions later. Imagine that we observe a response variable together with a large number of potential explanatory variables, and would like to be able to discover which variables are truly associated with the response. At the same time, we need to know that the false discovery rate (FDR)---the expected fraction of...