Conditional Density and Expectation

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Description

This lecture covers the concepts of conditional density, marginal densities, and independence of random variables. It also delves into the calculation of expectations, variances, and covariances, showcasing examples with various probability distributions.

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Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

Related lectures (29)

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In course

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

Related lectures (29)

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