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Probability Foundations → Applications of Joint Distributions
This path guides university students from the fundamentals of probability through the intricacies of joint distributions for multiple random variables. It covers joint PMFs and PDFs, marginalization, independence, and extends to conditional distributions and expectations, culminating in practical applications and the multivariate normal distribution.
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