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Conditional Distribution


A conditional distribution is the statistical distribution of a random variable given specified information about another random variable or event. For jointly discrete random variables X and Y,

 P(X=x|Y=y)=(P(X=x,Y=y))/(P(Y=y)),

when P(Y=y)>0. For jointly continuous random variables, the conditional probability density function is f_(X|Y)(x|y)=f_(X,Y)(x,y)/f_Y(y) wherever the denominator is positive.

The conditional distribution can depend on the observed value y. The original marginal distribution of X is recovered by averaging these conditional distributions over the distribution of Y.


See also

Conditional Probability, Joint Distribution Function, Marginal Distribution

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References

Casella, G. and Berger, R. L. Statistical Inference, 2nd ed. Pacific Grove, CA: Duxbury, 2002.

Cite this as:

Weisstein, Eric W. "Conditional Distribution." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/ConditionalDistribution.html

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