Abstract

In this work, we propose a testing methodology for assessing complete independence in both low and high dimensional scenarios. The properties of the test are explored through simulations in terms of power and bias. Furthermore, we propose asymptotic approximations based on mixtures Gamma distributions that are computationally efficient and straightforward to implement in practical applications. Numerical studies are provided to illustrate the accuracy of the asymptotic approximations proposed.