Probability Theory: Integration and Convergence

In course

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Description

This lecture covers topics in probability theory, focusing on uniform integrability, convergence theorems, and integration on a general measure space. It discusses the concept of finite measure spaces, partitions, and measurable functions. The lecture also explores convergence theorems and the integration of functions on a general measure space.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_d9l3v89o

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Ontological neighbourhood

Mathematics

Analysis: Measure theory, Functional analysis

Mathematical logic: Set theory

Probability theory: Topics in probability theory

Logic

Classical logic: First-order logic

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