Abstract
In this chapter we introduce two closely related concepts: conditional probabilities and conditional probability distributions. These two mathematical objects are vital in the construction and analysis of nearly all of the random sequences and stochastic processes that form the chief subject matter of the latter part of this book (Chapters 24 through 33).
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© 1997 Springer Science+Business Media New York
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Fristedt, B., Gray, L. (1997). Conditional Probabilities. In: A Modern Approach to Probability Theory. Probability and its Applications. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4899-2837-5_21
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DOI: https://doi.org/10.1007/978-1-4899-2837-5_21
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4899-2839-9
Online ISBN: 978-1-4899-2837-5
eBook Packages: Springer Book Archive