Multivariate Medial Correlation with applications

We define a multivariate medial correlation coefficient that extends the probabilistic interpretation and properties of Blomqvist’s $\beta$ coefficient, incorporates multivariate marginal dependencies and it preserves a stronger multivariate concordance relation. We determine the maximum and minimum values attainable and illustrate the results in some models. We end with an application on real datasets.