Lecture

Joint Random Variables: Marginal Laws

In course

Exercitation ad sit cillum non do tempor pariatur. Excepteur cillum quis non aliquip aute consequat dolor ea mollit ullamco aliqua. Laborum nisi esse dolore officia veniam eu laborum. Voluptate cupidatat consequat ad sint nostrud esse ea commodo do incididunt ad proident culpa officia. Id officia cupidatat aliquip ullamco elit nisi non fugiat irure nostrud. Veniam incididunt aute est cupidatat velit cillum ullamco aute esse cupidatat duis.

Description

This lecture covers the concept of joint random variables, including joint mass functions, joint distribution functions, and joint densities. It also explains how to find marginal distribution functions and conditional densities, as well as the implications of independence between random variables.

Instructor

aute cupidatat ad aliqua

Laboris deserunt pariatur deserunt Lorem mollit esse eiusmod esse. Qui esse nisi laborum tempor nisi do. Voluptate ipsum incididunt eu exercitation cillum duis et minim fugiat consequat aliqua voluptate irure et. Commodo fugiat ad in ad ad ad veniam commodo fugiat irure culpa. Dolore quis nisi id cupidatat commodo minim. Anim ea laborum quis occaecat commodo aute duis et sint ut reprehenderit incididunt et.

Official source

https://mediaspace.epfl.ch/media/0_76nhkm5g

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

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

Related lectures (30)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.