Abstract
Let A and B be events, and suppose that P(B) > 0. We recall from Section 3 of the Introduction that the conditional probability of A given B is defined as P(A | B) = P(A \ B)/P(B) and that P(A | B) = P(A) if A and B are independent. Now, let (X, Y ) be a two-dimensional random variable whose components are discrete.
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© 2009 Springer-Verlag New York
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Gut, A. (2009). Conditioning. In: An Intermediate Course in Probability. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0162-0_2
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DOI: https://doi.org/10.1007/978-1-4419-0162-0_2
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-0161-3
Online ISBN: 978-1-4419-0162-0
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