Bayes' Rule With MatLab: A Tutorial Introduction to Bayesian Analysis

by James V. Stone

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 using the MatLab and Python programs provided online. 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 MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations.

190 pages, Paperback

First published July 30, 2015

About the author

Honorary Associate Professor, University of Sheffield, England.