Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

On Probability and Moment Inequalities for Supermartingales and Martingales

On Probability and Moment Inequalities for Supermartingales and Martingales The probability inequality for sum S n =∑ j=1 n X j is proved under the assumption that the sequence S k , k= $$\overline {1,n,}$$ , forms a supermartingale. This inequality is stated in terms of the tail probabilities P(X j >y) and conditional variances of the random variables X j , j= $$\overline {1,n,}$$ . The well-known Burkholder moment inequality is deduced as a simple consequence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Applicandae Mathematicae Springer Journals

On Probability and Moment Inequalities for Supermartingales and Martingales

Acta Applicandae Mathematicae , Volume 79 (2) – Oct 18, 2004

Loading next page...
 
/lp/springer-journals/on-probability-and-moment-inequalities-for-supermartingales-and-Z1E4XFgvjw

References (23)

Publisher
Springer Journals
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Mathematics; Mathematics, general; Computer Science, general; Theoretical, Mathematical and Computational Physics; Complex Systems; Classical Mechanics
ISSN
0167-8019
eISSN
1572-9036
DOI
10.1023/A:1025814306357
Publisher site
See Article on Publisher Site

Abstract

The probability inequality for sum S n =∑ j=1 n X j is proved under the assumption that the sequence S k , k= $$\overline {1,n,}$$ , forms a supermartingale. This inequality is stated in terms of the tail probabilities P(X j >y) and conditional variances of the random variables X j , j= $$\overline {1,n,}$$ . The well-known Burkholder moment inequality is deduced as a simple consequence.

Journal

Acta Applicandae MathematicaeSpringer Journals

Published: Oct 18, 2004

There are no references for this article.