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Marginal Probability Mass Function

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Probability

Definition

Let XX and YY be two random variables. The marginal distributions can be computed from their joint pmf p(x,y)p(x,y), as a result the marginal pmf of XX is pX(x)=āˆ‘y∈Yp(x,y),Ā x∈Xp_X(x)=\sum_{y\in\mathscr{Y}}p(x,y), \ x\in\mathscr{X} and the marginal pmf of YY is pY(y)=āˆ‘x∈Xp(x,y),Ā y∈Yp_Y(y)=\sum_{x\in\mathscr{X}}p(x,y), \ y\in\mathscr{Y}

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