Humboldt-Universität zu Berlin - High Dimensional Nonstationary Time Series

IRTG1792DP2018 040

Complete Convergence and Complete Moment Convergence for Maximal Weighted Sums of Extended Negatively Dependent Random Variables

Ji Gao YAN


Abstract
In this paper, the complete convergence and complete moment convergence for maximal
weighted sums of extended negatively dependent random variables are investigated. Some su±cient
conditions for the convergence are provided. In addition, the Marcinkiewicz{Zygmund type strong law
of large numbers for weighted sums of extended negatively dependent random variables is obtained.
The results obtained in the article extend the corresponding ones for independent random variables
and some dependent random variables.

Keywords:
Extended negatively dependent, complete convergence, complete moment convergence, maximal weighted sums, strong law of large numbers

JEL Classification:
C00

MR(2010) Subject Classification:
60F15