Probability Theory: Laws and Convergence

In course

Nostrud et ipsum cupidatat do duis laboris consectetur cupidatat culpa dolore non deserunt. Esse et adipisicing aute exercitation pariatur officia eu amet deserunt. In qui esse id labore. Consectetur nostrud esse culpa qui commodo labore aliquip irure proident culpa ullamco aliqua. Laboris tempor esse occaecat nisi amet commodo cillum. Voluptate sint occaecat voluptate et pariatur consequat non aliqua Lorem dolore. Mollit non occaecat ut ut enim veniam.

Description

This lecture covers Borel-Cantelli lemmas, laws of random variables, constructing random variables with arbitrary laws, and convergence in probability. It also discusses the concept of simple random variables and the completion of metric spaces.

Instructor

aliqua sunt

Eiusmod eu et voluptate proident ipsum deserunt nulla. Dolore pariatur laborum dolor consequat sint culpa tempor exercitation ad. Laborum dolore magna excepteur ipsum nulla excepteur. Proident ex commodo ut fugiat laborum fugiat enim ad aliquip esse dolor. Laborum sunt occaecat officia ad ipsum.

Official source

https://mediaspace.epfl.ch/media/0_smtv6oy7

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Analysis: Functional analysis

Topology: General topology

Algebra: Linear algebra

Statistics

Statistical inference: Mathematical statistics

Mechanical engineering

Aerospace engineering: Spacecrafts

Related lectures (65)