Lecture

Advanced Probability

In course

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Description

This lecture covers advanced topics in probability theory, focusing on the geometric distribution and expected value calculations. The instructor explains the concept of biased coins, sample spaces, and the number of tosses needed to obtain a specific outcome. Additionally, the lecture delves into variance calculations, Chebyshev's inequality, and generating random numbers using dice and coins.

Official source

https://mediaspace.epfl.ch/media/0_ixpf5aw6

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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