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MOTIVATION
We address a common problem in large-scale data analysis, and especially the field of genetics, the huge-scale testing problem, where millions to billions of hypotheses are tested together creating a computational challenge to control the inflation of the false discovery rate. As a solution we propose an alternative algorithm for the famous… (More)

We develop new simultaneous confidence intervals for the components of a multi-variate mean. The intervals determine the signs of the parameters more frequently than standard intervals do: the set of data values for which each interval includes parameter values with only one sign is larger. When one or more estimated means are small, the new intervals… (More)

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