Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Continuous Random Variables
Description
This lecture covers the behavior of continuous random variables, describing them through density functions. It explains the properties of density and distribution functions, including uniform, exponential, and normal distributions. The lecture also delves into joint random variables, discussing joint distribution functions and marginal densities. Independence between random variables is explored, along with conditional densities. Examples are provided to illustrate the concepts.
Official source
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.