Central limit theorem for subcopulas under the Manhattan distance

Abstract

In this work, we prove a central limit theorem for the empirical subcopula processes by embedding the space of subcopulas in the space of Lebesgue integrable functions. The central limit theorem is then followed by the functional delta method. We also provide an example to demonstrate that convergence under the Chebyshev distance should not be expected.