Joint Probability Distributions
Steve Brunton
74,456 views
The joint probability distribution quantifies the joint dependence between two random variables, X and Y. If these random variables are independent, then P(X=x,Y=y) = P(X=x)P(Y=y).
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:22 Examples & Motivation
09:49 Independence in Joint Distributions
14:02 Outro
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Are there favorite text s, other than your old class notes, you would suggest which reflect the spirit of both your probability/stats playlists ?
Have you considered publishing/sharing your lecture notes ?
Joint Probability Distributions
Steve Brunton
74,456 views
The joint probability distribution quantifies the joint dependence between two random variables, X and Y. If these random variables are independent, then P(X=x,Y=y) = P(X=x)P(Y=y).
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:22 Examples & Motivation
09:49 Independence in Joint Distributions
14:02 Outro