Limiting Behavior of the Partial Sum for Negatively Superadditive Dependent Random Vectors in Hilbert Space
In this paper, We study the complete convergence and Lp- convergence for the maximum of the partial sum of negatively superadditive dependent random vectors in Hilbert space. The results extend the corresponding ones of Ko (Ko, 2020) to H-valued negatively superadditive dependent random vectors.
Saved in:
Main Author: | Mi-Hwa Ko |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2020/8609859 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Limiting Behavior of the Maximum of the Partial Sum for Linearly Negative Quadrant Dependent Random Variables under Residual Cesàro Alpha-Integrability Assumption
by: Jiangfeng Wang, et al.
Published: (2012-01-01) -
Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables
by: Qunying Wu
Published: (2011-01-01) -
A Multiparameter Hardy–Hilbert-Type Inequality Containing Partial Sums as the Terms of Series
by: Jianquan Liao, et al.
Published: (2021-01-01) -
Random sums of random vectors and multitype families of
productive individuals
by: I. Rahimov, et al.
Published: (2004-01-01) -
A limit theorem for partial weighted sums of regression residuals
by: Vytenis Pažemys
Published: (2004-12-01)