250 citations · 1.1k across the 76 of their papers we have counts for
4 papers · 1 filter
An Empirical Study of Leading Measures of Dependence
David N. Reshef, Yakir A. Reshef, Pardis C. Sabeti +1
In exploratory data analysis, we are often interested in identifying promising pairwise associations for further analysis while filtering out weaker, less interesting ones. This ca…
Equitability, interval estimation, and statistical power
Yakir A. Reshef, David N. Reshef, Pardis C. Sabeti +1
For analysis of a high-dimensional dataset, a common approach is to test a null hypothesis of statistical independence on all variable pairs using a non-parametric measure of depen…
Measuring dependence powerfully and equitably
Yakir A. Reshef, David N. Reshef, Hilary K. Finucane +2
Given a high-dimensional data set we often wish to find the strongest relationships within it. A common strategy is to evaluate a measure of dependence on every variable pair and r…
More Analysis of Double Hashing for Balanced Allocations
Michael Mitzenmacher
With double hashing, for a key , one generates two hash values and , and then uses combinations for to generate multiple hash…