  In this work we derive the copulas related to Manneville-Pomeau processes. We
examine both bidimensional and multidimensional cases and derive some
properties for the related copulas. Computational issues, approximations and
random variate generation problems are addressed and simple numerical
experiments to test the approximations developed are also performed. In
particular, we propose an approximation to the copulas derived which we show to
converge uniformly to the true copula. To illustrate the usefulness of the
theory, we derive a fast procedure to estimate the underlying parameter in
Manneville-Pomeau processes.
