Stochastic Models for Communications: Markov Chains and Random Variables

In course

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Description

This lecture covers topics such as Markov chains, transition matrices, random variables, independence, characteristic functions, product of random variables, and stationary processes. It also discusses queueing theory, Erlang distributions, and system response times.

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Instructor

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Official source

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Bayesian inference

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