On the complete moment convergence of moving average processes generated by negatively dependent random variables under sub-linear expectations

The moving average processes $X_k=\sum _{i=-\mathrm{\infty }}^{\mathrm{\infty }}{a}_{i+k}{Y}_i$ are studied, where $\{Y_i,-\mathrm{\infty }<i<\mathrm{\infty }\}$ is a double infinite sequence of negatively dependent random variables under sub-linear expectations, and $\{a_i,-\mathrm{\infty }<i<\mathrm{\infty }\}$ is an absolutely summable sequence of real numbers. We establish the complete moment convergence of a moving average process under proper conditions, extending the corresponding results in classic probability space to those in sub-linear expectation space.