Dependence measures
The normalizations and directions behind the rank coefficients.
Concordance and functional dependence
Two coefficients can summarize different aspects of the same distribution.
Keep the direction and normalization visible before comparing their values.
Throughout this chapter,
Spearman’s rho
Spearman’s population coefficient is the correlation of the uniform ranks:
It takes the values
Chatterjee’s xi
For continuous margins, the copula formula in the direction “
The partial derivative is interpreted almost everywhere. This is a directional
quantity; interchanging the coordinates can change it. In contrast to rho,
xi equals
The formulas and direction used here follow equations (1) and (3) of Ansari & Rockel, arXiv:2506.15897v3. Matching derivative formulas to the library’s conditional-distribution representation is a separate formalization task.
Other coefficients in the collection
The following formulas fix the conventions used in the handbook. They are mathematical reference formulas, not claims that the corresponding article statements have already been formalized.
| Coefficient | Copula formula |
|---|---|
| Kendall’s tau | |
| Spearman’s footrule | |
| Blomqvist’s beta | |
| Gini’s gamma |
Notice the measure in the tau integral: it is
The dependence-family article provides the surrounding conventions. For Blest’s coefficient, consult the xi–Blest supplement and its versioned source; the directional convention must be matched explicitly.
A minimal consistency check
Before translating a longer calculation, evaluate the definition at