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.
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Nagaev, S.V. On Probability and Moment Inequalities for Supermartingales and Martingales. Acta Applicandae Mathematicae 79, 35–46 (2003). https://doi.org/10.1023/A:1025814306357
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DOI: https://doi.org/10.1023/A:1025814306357