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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
OUR PRICE: $27.50  

Binding Type: Paperback
Published: October 2016
Qty:
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
 
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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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