book chapter · Chapman & Hall/CRC eBooks · 2026

Conditional Probability

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Abstract

In many practical situations, the probability of an event depends on the occurrence of another related event. Understanding such dependencies is the central focus of conditional probability. In this chapter, we introduce the concept of conditional probability and explore how it modifies the likelihood of events based on additional information.

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APA 7

Gan, G. (2026). Conditional Probability. Chapman & Hall/CRC eBooks, 39–50. https://doi.org/10.1201/9781003797883-4

MLA 9

Gan, Guojun. “Conditional Probability.” Chapman & Hall/CRC eBooks, 2026, pp. 39–50, https://doi.org/10.1201/9781003797883-4.

Chicago

Gan, Guojun. 2026. “Conditional Probability.” Chapman & Hall/CRC eBooks: 39–50. https://doi.org/10.1201/9781003797883-4.

Harvard

Gan, G. (2026) ‘Conditional Probability’, Chapman & Hall/CRC eBooks, pp. 39–50. Available at: https://doi.org/10.1201/9781003797883-4.

BibTeX

@incollection{gan2026conditional,
  title = {{Conditional Probability}},
  author = {Gan, Guojun},
  booktitle = {Chapman & Hall/CRC eBooks},
  pages = {39--50},
  year = {2026},
  doi = {10.1201/9781003797883-4}
}

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Conditional Probability

Abstract

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Conditional Distributions