Published by Sebtel Press, 2013.
ISBN 9780956372840.
Paperback available from:
Ebook available from:

Published by Sebtel Press, 2015.
ISBN 9780993367908.
Paperback available from:

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. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams. 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.
These two books contain identical text, but Bayes' Rule With MatLab also includes code snippets alongside the relevant equations. Download Chapter 1 (above) for examples.
