Conditional expectation is the expected value of a random variable given that certain conditions or events have occurred. It helps us understand how the expectation of one variable changes when we know the value of another variable. This concept is crucial for making predictions and decisions based on partial information, as it connects deeply to notions like conditional probability, marginal distributions, optimal estimation methods, and the behavior of stochastic processes.
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