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Lecture
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.
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.