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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer-Verlag New York
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-4419-0162-0_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-0161-3
Online ISBN: 978-1-4419-0162-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)