70 citations · 154 across the 6 of their papers we have counts for
3 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…
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…
Theoretical Foundations of Equitability and the Maximal Information Coefficient
Yakir A. Reshef, David N. Reshef, Pardis C. Sabeti +1
The maximal information coefficient (MIC) is a tool for finding the strongest pairwise relationships in a data set with many variables (Reshef et al., 2011). MIC is useful because…