Lecture

Probability Theory: Lecture 2

In course

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Description

This lecture covers probability theory, focusing on toy models for finite probability spaces, sigma-algebras, T-valued random variables, measures, and measurable maps. It also discusses T-valued random variables as measurable maps and explores the concept of independence in probability theory.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_z1b4q6nd

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Ontological neighbourhood

Mathematics

Analysis: Measure theory

Mathematical logic: Set theory

Algebra: Abstract algebra

Statistics

Statistical inference: Mathematical statistics

Chemistry

Organic chemistry: Organometallic chemistry

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