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A probability inequality for sums of independent Banach space valued random variables.

Authors :
Deli Li
Han-Ying Liang
Rosalsky, Andrew
Source :
Stochastics: An International Journal of Probability & Stochastic Processes. 2018, Vol. 90 Issue 2, p214-223. 10p.
Publication Year :
2018

Abstract

Let (B, ∥ · ∥) be a real separable Banach space. Let ϕ(·) and ψ(·) be two continuous and increasing functions defined on [0,∞) such that ϕ(0) = ψ(0) = 0, limt→∞ϕ(t) = ∞, and ψ(·)/ϕ(·) is a nondecreasing function on [0,∞). Let {Vn; n ≥ 1} be a sequence of independent and symmetric B-valued random variables. In this note, we establish a probability inequality for sums of independent B-valued random variables by showing that for every n ≥ 1 and all t ≥ 0, ...where an = ϕ(n) and bn = ψ(n), n ≥ 1. As an application of this inequality, we establish what we call a comparison theorem for the weak law of large numbers for independent and identically distributed B-valued random variables. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17442508
Volume :
90
Issue :
2
Database :
Academic Search Index
Journal :
Stochastics: An International Journal of Probability & Stochastic Processes
Publication Type :
Academic Journal
Accession number :
127503680
Full Text :
https://doi.org/10.1080/17442508.2017.1318878