Bayes' Rule With R: A Tutorial Introduction to Bayesian Analysis Contributor(s): Stone, James V. (Author) |
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ISBN: 0993367941 ISBN-13: 9780993367946 Publisher: Tutorial Introductions
Binding Type: Paperback Published: October 2016 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Bayesian Analysis |
Physical Information: 0.4" H x 6" W x 9" L (0.56 lbs) 186 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. 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 book includes R (3.2) code snippets, which reproduce key numerical results and diagrams. |
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