Advertisement
Published in:
2019 | OriginalPaper | Chapter
3. Conditional Probability, Bayes’ Formula, Independent Events
Author : Esra Bas
Published in: Basics of Probability and Stochastic Processes
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
In this chapter, three important topics, i.e. the conditional probability, Bayes’s formula, and the independence of two and three events have been introduced, which are crucial not only for the basics of probability, but also for the basics of stochastic processes. Some illustrative examples and problems have been presented, and most of the solutions have been supported by using the tree diagrams for a better comprehension.