We study the complete convergence of moving-average processes based on an identically

distributed doubly infinite sequence of negatively superadditive-dependent random variables.

As a corollary, the Marcinkiewicz-Zygmund strong law...

In this paper, we present some general results concerning complete convergence for arrays of dependent random variables,dominated in a sense by independent random variables. As an application, we obtain the Baum–Katz-type theorem for arrays of some...

Some limit theorems and complete convergence theorems for weighted sums of

FGM random sequences are provided and applied to empirical distribution, sample

pth quantile...

Some basic theoretical properties and complete convergence theorems for weighted sums of

weakly negative dependent are provided and applied to random weighting estimate. Moreover, various

examples are presented...

In a celebrated work by Shao [J. The. Probab. 13. (2000) 343-356] several inequalities for negatively associated random variables were proved. In this paper we obtain some maximal inequalities for associated random variables. ...

In this paper, we study complete convergence for weighted sums of dependent random sequences. In particular, we obtain the Hsu-Robbins-Erdos type theorem for dependent random variables, dominated in a sense by independent random variables. Moreover...

In this paper, the complete convergence is established for the weighted sums of

negatively superadditive-dependent random variables. As an application, the Marcinkiewicz-

Zygmund strong law of large numbers for the random weighted...

We study the limiting behavior of weighted sums for

negatively associated (NA) random variables. We extend results in

Wu (1999) and a theorem in Chow and Lai (1973) for NA random

variables.