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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.
Acta Applicandae Mathematicae – Springer Journals
Published: Oct 18, 2004
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