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Multiple Random Variables - Joint and Conditional Distributions

Professor Knudson via YouTube

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Overview

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This course introduces joint and conditional distributions for multiple discrete and continuous random variables. It also covers independence, expectations, covariance, and the variance of sums of independent random variables.

Syllabus

Joint Distributions (Discrete Video 1).
Joint Distributions (Discrete Video 2).
Joint Distributions (Continuous Video 1).
Joint Distributions (Continuous Video 2).
Joint Distributions (Continuous Video 3).
Joint Distributions (Continuous Video 4).
Joint Cumulative Distribution Functions (CDFs).
Conditional Distributions: An Introduction.
Conditional Distributions: Uniform Over a Circle.
Conditional Distributions: Expectations.
Independent Random Variables (Video 1).
Independent Random Variables (Video 2).
Covariance of Random Variables.
Variance of the Sum of Independent Random Variables.

Taught by

Professor Knudson

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