Currently displaying 1 – 8 of 8

Showing per page

Order by Relevance | Title | Year of publication

On the Brunk-Chung type strong law of large numbers for sequences of blockwise -dependent random variables

Le Van Thanh — 2006

ESAIM: Probability and Statistics

For a sequence of blockwise -dependent random variables {≥ 1}, conditions are provided under which lim n ( i = 1 n X i ) / b n = 0 almost surely where {≥ 1} is a sequence of positive constants. The results are new even when . As special case, the Brunk-Chung strong law of large numbers is obtained for sequences of independent random variables. The current work also extends results of Móricz [ (1987) 709–715], and Gaposhkin [. (1994) 804–812]. The sharpness of the results is illustrated by examples.

On the negative dependence in Hilbert spaces with applications

Nguyen Thi Thanh HienLe Van ThanhVo Thi Hong Van — 2019

Applications of Mathematics

This paper introduces the notion of pairwise and coordinatewise negative dependence for random vectors in Hilbert spaces. Besides giving some classical inequalities, almost sure convergence and complete convergence theorems are established. Some limit theorems are extended to pairwise and coordinatewise negatively dependent random vectors taking values in Hilbert spaces. An illustrative example is also provided.

Page 1

Download Results (CSV)