754 citations · 1.7k across the 32 of their papers we have counts for
Showing 2014 · math.STShow all
2 papers · 2 filters
math.ST2014
Rare and Weak effects in Large-Scale Inference: methods and phase diagrams
Jiashun Jin, Tracy Ke
Often when we deal with `Big Data', the true effects we are interested in are Rare and Weak (RW). Researchers measure a large number of features, hoping to find perhaps only a smal…
math.ST2014★ 132 cited
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects
David Donoho, Jiashun Jin
In modern high-throughput data analysis, researchers perform a large number of statistical tests, expecting to find perhaps a small fraction of significant effects against a predom…