most citedA universal rank-order transform to extract signals from noisy data

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

physics.data-an2019★ 11 cited

A universal rank-order transform to extract signals from noisy data

Glenn Ierley, Alex Kostinski

We introduce an ordinate method for noisy data analysis, based solely on rank information and thus insensitive to outliers. The method is nonparametric, objective, and the required…