Lecture

Central Limit Theorem: Illustration and Applications

Description

This lecture covers the Central Limit Theorem, explaining how the behavior of averages of independent and identically distributed random variables changes as the sample size increases. It discusses the estimation of probabilities using normal distributions and the approximation of sums of independent random variables. The lecture also explores the concept of empirical quantiles and their applications in statistical analysis.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_6g6lw4hq

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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