A joint probability density function (PDF) is a mathematical function that describes the likelihood of two or more continuous random variables occurring simultaneously. It provides a way to understand how different variables are related and the probability of specific outcomes across multiple dimensions. This concept is vital for understanding joint, marginal, and conditional distributions, as it lays the foundation for calculating probabilities involving multiple variables.
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