Author of probability inequalities for sums of bounded independent random variables. The resulting Hoeffding inequality bounds tail probabilities without requiring an exact distribution for the sum, making it useful in concentration of measure.[ref]
Probability Inequalities for Sums of Bounded Random Variables by Wassily Hoeffding. author attribution and the named work’s subject
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Wassily Hoeffding is a Russian-American mathematician known for his significant contributions to probability theory and statistics. He is particularly well-known for the Hoeffding inequality, which provides bounds on the sum of random variables and is essential in the field of statistical learning theory, especially in the context of dealing with large samples and understanding the convergence of sample averages to expected values.