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Conditional Expectation


The conditional expectation of an integrable random variable X on a probability space (Omega,F,P) given a sigma-algebra G subset= F is a G-measurable random variable, denoted E[X|G], such that

 int_GE[X|G]dP=int_GXdP

for every G in G. It is unique up to sets of probability zero.

For a nonnegative random variable X, the definition extends to conditional expectations that may take the value +infty by the almost-sure increasing limit E[X|G]=lim_(n->infty)E[min(X,n)|G]. Here, min denotes the minimum.

When conditioning on a random variable Y, the notation E[X|Y] means conditioning on the sigma-algebra generated by Y. Conditional expectation is the probability-theoretic analog of averaging while retaining specified information.


See also

Conditional Intensity Function, Expectation Value, Operator Algebra Conditional Expectation, Random Variable

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References

Billingsley, P. Probability and Measure, 3rd ed. New York: Wiley, 1995.

Cite this as:

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

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