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

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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 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. 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.

Kindle Edition

First published July 30, 2015

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About the author

James V. Stone

21 books34 followers
Honorary Associate Professor, University of Sheffield, England.

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