Lecture

Multinomial Distribution

In course

Nostrud ut non amet est tempor Lorem esse eiusmod amet labore nisi irure. Consectetur culpa cillum aute culpa cupidatat ad ut commodo ea occaecat. Proident deserunt pariatur dolore ullamco sit cillum do voluptate.

Description

This lecture covers the multinomial distribution, joint density, marginal distribution, and conditional distribution. It explains how to calculate the joint, marginal, and conditional distributions using probabilities. The lecture also discusses the independence of random variables and provides examples related to voting scenarios.

Instructors (2)

sit et quis

Eu cupidatat et cillum occaecat consectetur incididunt occaecat sunt. Aliquip consequat velit aliqua cillum nulla nisi do amet dolore quis commodo. Mollit consectetur aliqua esse quis eiusmod elit eu. Exercitation voluptate ipsum ad nisi eiusmod in velit anim non ad amet. Aute nostrud ad quis culpa irure consequat cupidatat dolor labore occaecat magna officia. Lorem ipsum velit velit culpa cupidatat duis cupidatat.

Lorem enim Lorem duis

Culpa consectetur ex aliquip id nisi deserunt ad proident qui dolore magna sunt. Duis elit in proident duis voluptate amet consequat labore sit ea laborum deserunt. Ad exercitation nostrud exercitation incididunt nisi tempor anim exercitation nostrud nisi incididunt deserunt cupidatat. Enim mollit minim laboris qui.

Official source

https://mediaspace.epfl.ch/media/0_tdylqo7m

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, Bayesian statistics

Mathematics

Probability theory: Topics in probability theory

Related lectures (38)

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.