Bayes' Rule With Python: A Tutorial Introduction to Bayesian Analysis Contributor(s): Stone, James V. (Author) |
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ISBN: 0993367933 ISBN-13: 9780993367939 Publisher: Jim Stone
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 (0.57 lbs) 188 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 Python (3.0) code snippets, which reproduce key numerical results and diagrams. |
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