Lecture

Probability Review

In course

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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.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_ooizqds1

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Logic

Classical logic: First-order logic

Health sciences

Radiology: Topics in radiology

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