Abstract
Let X and Y be two random variables with Y taking values in R with X taking on only countably many values. It often arises that we know already the value of X and want to calculate the expected value of Y taking into account the knowledge of X. That is, suppose we know that the event {X = j} for some value j has occurred. The expectation of Y may change given this knowledge. Indeed, if Q(Λ) = P(Λ|X = j), it makes more sense to calculate Eq{Y} than it does to calculate E P {Y} (E R {·} denotes expectation with respect to the Probability measure R.)
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© 2000 Springer-Verlag Berlin Heidelberg
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Jacod, J., Protter, P. (2000). Conditional Expectation. In: Probability Essentials. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51431-9_23
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DOI: https://doi.org/10.1007/978-3-642-51431-9_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66419-2
Online ISBN: 978-3-642-51431-9
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