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Lecture
Probability and Statistics
Description
This lecture covers topics such as joint random variables, conditional density, marginal distributions, and independence in the context of probability and statistics. It also delves into continuous and discrete random variables, distribution functions, and essential properties of density functions. Examples and exercises are provided to illustrate the concepts discussed.
Official source
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