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Let $\{Y_i,-\infty<i<\infty\}$ be a doubly infinite sequence of identicallydistributed, negatively dependent random variables under sub-linearexpectations, $\{a_i,-\infty<i<\infty\}$ be an absolutely summable sequence ofreal numbers. In this article, we study complete convergence andMarcinkiewicz-Zygmund strog law of large numbers for the partial sums of movingaverage processes $\{X_n=\sum_{i=-\infty}^{\infty}a_{i}Y_{i+n},n\ge 1\}$ basedon the sequence $\{Y_i,-\infty<i<\infty\}$ of identically distributed,negatively dependent random variables under sub-linear expectations,complementing the result of [Chen, et al., 2009. Limiting behaviour of movingaverage processes under $\varphi$-mixing assumption. Statist. Probab. Lett. 79,105-111].

Limiting behaviour of moving average processes genenrated by negatively dependent random variables under sub-linear expectations