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Synopsis
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 the book Bayes' Rule includes working MatLab code snippets alongside the relevant equations.
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About the Author
Dr James Stone is a Reader in Vision and Computational Neuroscience at the University of Sheffield, England.
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Tutorial Introductions 8/1/2015, 2015
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