Bayes' Rule with MatLab: A Tutorial Introduction to Bayesian Analysis Contributor(s): Stone, James V. (Author) |
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ISBN: 0993367909 ISBN-13: 9780993367908 Publisher: Tutorial Introductions
Binding Type: Paperback Published: August 2015 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Bayesian Analysis |
Physical Information: 0.4" H x 6" W x 9" L (0.58 lbs) 190 pages |
Features: Glossary |
Descriptions, Reviews, Etc. |
Publisher Description: Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and Python programs provided online. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations. |
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