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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.
Official source
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