

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 threedimensional world from from the twodimensional 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 realworld 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. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.
Stone’s book is renowned for its visually engaging style of presentation, which stems from teaching Bayes’ rule to psychology students for over 10 years as a university lecturer.
The books below contain identical text, but "Bayes' Rule With MatLab", "Bayes' Rule With Python (version 3.5)" and "Bayes' Rule With R" include code snippets, which reproduce key figures and numerical results. Download Chapter 1 (below) for examples.
Available as ebook, paperback and hardback.
Sebtel Press, 2013.
ISBN 9780956372840,
ISBN 9780956372895
Available from:
Ebook available from Selz, a trustworthy site:

Sebtel Press, 2015.
ISBN 9780993367908.
Available from:
Ebook available from Selz, a trustworthy site:

Sebtel Press, 2016.
ISBN 9780993367939.
Available from:
Ebook available from Selz, a trustworthy site:

Sebtel Press, 2016.
ISBN 9780993367946.
Available from:
Ebook available from Selz, a trustworthy site:

