Here, we tested the ability of each of these widely used correlation measures and tools to detect a variety of dependent relationships in both simulated and real microbial data sets.

Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. A linear correlation coefficient that is greater than zero indicates a ...

The subject of rank correlation has had a rich history. It has been used in numerous applications in tests for trend and for independence. However, little has been said about how to define rank ...

Correlation—In statistics, dependence or association is any statistical relationship, whether causal or not, between two variables Causation—Indicates a relationship between two variables where one ...

We propose a nonparametric estimator of the correlation function in such data, using kernel methods. We develop a pointwise asymptotic normal distribution for the proposed estimator, when the number ...

Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why.