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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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.