Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
by John J. Shynk
5.12 CONDITIONAL EXPECTATION
The conditional probability of events A and B in the abstract probability space
was introduced in Chapter 2. There we discussed how conditioning on event B reduces the sample space for event A such that we can write
assuming
. In Chapter 3, we considered conditional pdfs which have a form analogous to (5.112):
and likewise for conditional pmfs. The conditional expectation, which is also called the conditional mean, follows from these expressions.
Definition: Conditional Expectation The conditional expectation of random variable X given that random variable Y takes on the value y is
(5.114)
Observe that
is a nonrandom function of y, such that we can write
. The conditional expectation given random variable Y is itself a random variable because ...
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