Lecture

Central Limit Theorem

In course

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Description

This lecture introduces the central limit theorem, stating that in the limit of large n, every random process converges to a normal distribution. It explains how random variables converge to a normal distribution, regardless of their original distribution, and demonstrates this concept through various examples and simulations.

Official source

https://mediaspace.epfl.ch/media/0_1nhew26l

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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