Complete -order moment convergence of moving average processes under -mixing assumptions
Let be a doubly infinite sequence of identically distributed -mixing random variables, and an absolutely summable sequence of real numbers. We prove the complete -order moment convergence for the partial sums of moving average processes based on the sequence of -mixing random variables under some suitable conditions. These results generalize and complement earlier results.