Lecture

Probability and Statistics

In course

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Description

This lecture covers various topics in probability and statistics, including Simpson's paradox, Bernoulli random variables, binomial random variables, and geometric distribution. It explores concepts such as independence, probability mass functions, and waiting time for events. Examples illustrate the application of these concepts in real-world scenarios, like multiple choice tests and board games. The lack of memory theorem is also discussed, highlighting the memoryless property of certain random variables.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_l3iwtiko

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Bayesian statistics

Mathematics

Probability theory: Topics in probability theory

Mathematical logic: Set theory

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