Lecture

Stochastic Models for Communications

Description

This lecture covers the concepts of mean, variance, and expectation of a random variable, as well as the characteristic function and moment-generating function. It also delves into probability-generating functions, inequalities like Markov and Tchebychev, and discrete and continuous random variables such as Binomial, Geometric, Poisson, and Gaussian distributions. The properties of Gamma distributions and their relation to Erlang and Chi-squared distributions are also discussed.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_i1yhe4jk

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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