Controlling the False Discovery Rate via knockoffs: is the +1 needed?
Barber and Candès (2015) control of the FDR in feature selection relies on estimating the FDR by the number of knockoff wins +1 divided by the number of original wins. We show that the +1 is necessary in typical scenarios.
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