Conditional probability density function: Difference between revisions

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{{Mergewith|#redirect [[Conditional distribution|date=Aprilprobability 2007}}distribution]]

The '''conditional probability density function''' describes the probability over a random variable given the value of another random variable in the system. This is typically denoted by P(x | y), which represents the probability density of x over the random variable X when the random variable Y has a value of y. When the value of y is constant, the function P(x | y) is a [[probability density function]] over x. When the value of x is constant, the function P(x | y) is a [[likelihood function]] over y.

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[[Category:Probability theory]]

[[eo:Kondiĉa probabla denseca funkcio]]