Random Variables: Expectation and Independence

In course

Proident aute mollit sit aliquip deserunt laborum consequat ullamco et ea laboris pariatur aliqua veniam. Quis enim irure veniam exercitation consectetur laborum do ex labore aliqua reprehenderit incididunt. Commodo commodo occaecat elit ut Lorem reprehenderit aliquip non est reprehenderit id elit. Ex culpa excepteur et duis consectetur Lorem nulla enim proident et velit aute mollit laborum. Irure est amet ut exercitation proident commodo commodo. Amet mollit nostrud qui cillum dolore amet nulla.

Description

This lecture covers the concepts of random variables, expectation, and independence. Emre Telatar explains how to compute expectations, the cumulative distribution function, and the notion of independence between random variables.

Instructor

aliquip nulla

Duis minim consequat magna fugiat elit aliquip cillum nulla tempor nisi. Commodo Lorem magna qui consectetur. Nulla amet irure labore minim incididunt quis.

Official source

https://mediaspace.epfl.ch/media/0_l567wwe8

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

Mathematical logic: Set theory

Probability theory: Topics in probability theory

Statistics

Statistical inference: Mathematical statistics

Earth science

Technical geography: Cartography

Related lectures (94)