Lecture

Markov's Inequality and Hoeffding's Lemma

In course

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Description

This lecture covers Markov's inequality, which relates the probability that a non-negative random variable is greater than or equal to a constant, and Hoeffding's lemma, which provides bounds on the probability that the sum of independent random variables deviates from its mean. The instructor explains the concepts step by step, illustrating them with mathematical formulas and examples.

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Official source

https://mediaspace.epfl.ch/media/0_upjcr403

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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