Advanced Probability: Probability Concepts and Applications

In course

Exercitation incididunt anim ad anim incididunt minim aute qui et consectetur. Aute consequat labore eu tempor labore ex voluptate. Anim ipsum minim adipisicing reprehenderit aute elit pariatur eiusmod ad nisi. Id dolore ipsum ex excepteur est sit minim aute reprehenderit consequat. Minim culpa esse Lorem incididunt enim commodo est proident tempor sit commodo id.

Description

This lecture covers advanced probability concepts and applications, including the probability of divisibility by 2 or 5, the independence of events, Bernoulli trials, and the expected value theorem. It also discusses linearity of expectations and inversions in permutations.

Official source

https://mediaspace.epfl.ch/media/0_31cxqbed

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

Probability theory: Topics in probability theory

Related lectures (32)