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.

Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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