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What is Deterministic Approximations of Probability Inequalities about?

This document presents a framework for deriving explicit deterministic approximations of probability inequalities of the form P(~ > a) ≤ α, where ~ is a random variable and a and α are given values. It first analyzes the case of a single random variable ~, and derives deterministic approximations using properties like the mean, variance, and range of ~. Approximations are obtained by applying probability inequalities like Chebyshev

Author

Sandeep Gogadi

Language

EN