Lecture

Probability Review

Description

This lecture covers the concept of subgaussian random variables, including their definition, properties, and examples. It also introduces subexponential random variables and their characteristics, such as the moment-generating function. The lecture further explores conditional expectation and Orlicz norms, providing insights into tail bounds for subexponential distributions.

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