
Bayes' Rule
A Tutorial Introduction to Bayesian Analysis
$24.42
- Paperback
186 pages
- Release Date
14 April 2018
Summary
What does a medical test tell us about the chances of having a particular disease? How can we tell if a spoken phrase is, ‘four candles’ or ‘fork handles’? How do we a perceive a three-dimensional world from from the two-dimensional images on our retinas? The short answer is Bayes’ rule, which transforms meaningless statistics and raw data into useful information. Discovered by an 18th century mathematician and preacher, Bayes’ rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes’ rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis.
Book Details
| ISBN-13: | 9780956372895 |
|---|---|
| ISBN-10: | 0956372899 |
| Author: | James V. Stone |
| Publisher: | Sebtel Press |
| Imprint: | James V Stone |
| Format: | Paperback |
| Number of Pages: | 186 |
| Release Date: | 14 April 2018 |
| Weight: | 282g |
| Dimensions: | 10mm x 152mm x 228mm |

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Critics Review
“A crackingly clear tutorial for beginners. Exactly the sort of book required for those taking their first steps in Bayesian analysis.” Dr Paul A. Warren. School of Psychological Sciences, University of Manchester. “This book is short and eminently readable. It introduces the Bayesian approach to addressing statistical issues without using any advanced mathematics, which should make it accessible to students from a wide range of backgrounds, including biological and social sciences.” Dr Devinder Sivia. Lecturer in Mathematics, St John’s College, Oxford University, and author of Data Analysis: A Bayesian Tutorial. “For those with a limited mathematical background, Stone’s book provides an ideal introduction to the main concepts of Bayesian analysis. ” Dr Peter M Lee. Department of Mathematics, University of York. Author of Bayesian Statistics: An Introduction. “Bayesian analysis involves concepts which can be hard for the uninitiated to grasp. Stone’s patient pedagogy and gentle examples convey these concepts with uncommon lucidity. ” Dr Charles Fox. Department of Computer Science, University of Sheffield.
James V. Stone
James V Stone is an Honorary Associate Professor at the University of Sheffield, England.
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