Complete moment convergence of moving average processes for m-widely acceptable sequence under sub-linear expectations

In this article, the complete moment convergence for the partial sum of moving average processes ₙ=∑i=-∞∞aᵢYᵢ₊ₙ,n≥ 1\ is estabished under some proper conditions, where ᵢ,-∞<i<∞\ is a sequence of m-widely acceptable (m-WA) random variables, which is stochastically dominated by a random variable Y in sub-linear expectations space (Ω,,) and ᵢ,-∞<i<∞\ is an absolutely summable sequence of real numbers. The results extend the relevant results in probability space to those under sub-linear expectations.