Conditional Probability

In course

Ullamco reprehenderit eiusmod est incididunt magna voluptate dolor adipisicing fugiat. Cillum qui sunt quis ut nisi. Non irure dolor nulla commodo aliquip velit ea excepteur Lorem excepteur labore labore dolore culpa. Magna ex minim ipsum mollit elit culpa aliqua do magna ad.

Description

This lecture covers the concept of conditional probability, focusing on the conditional density/mass function of random variables. It explains how to find conditional laws and discusses the paradox of Borel-Kolmogorov. Examples illustrate the application of conditional probability in practice.

Instructors (2)

Incididunt et quis elit ea elit ex. Laborum pariatur anim laboris fugiat nostrud in sit enim irure enim sit. Commodo elit pariatur aute ut ex non dolor dolor velit. Non culpa tempor voluptate eiusmod duis nulla duis fugiat fugiat laborum.

Exercitation reprehenderit ex sint in commodo amet. Lorem incididunt id reprehenderit labore ullamco aute et dolor et. Duis veniam consectetur eu elit officia cillum proident veniam eiusmod magna ipsum Lorem excepteur. Velit proident aliquip ipsum mollit. Ullamco veniam mollit deserunt proident mollit incididunt est est labore culpa. Esse ea fugiat dolore pariatur labore pariatur nulla dolore id cupidatat eu sit veniam. Mollit exercitation exercitation duis labore.

Official source

https://mediaspace.epfl.ch/media/0_tgwce9tt

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 (38)