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Stone J.V. Bayes' Rule With MatLAB: A Tutorial Introduction to Bayesian Analysis

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Stone J.V. Bayes' Rule With MatLAB: A Tutorial Introduction to Bayesian Analysis
Sebtel Press, 2015. — 190 p. — ISBN: 0993367909.
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.
An Introduction to Bayes’ Rule.
Bayes’ Rule in Pictures.
Discrete Parameter Values.
Continuous Parameter Values.
Gaussian Parameter Estimation.
A Bird’s Eye View of Bayes’ Rule.
Bayesian Wars.
Appendices.
Mathematical Symbols.
The Rules of Probability.
Probability Density Functions.
The Binomial Distribution.
The Gaussian Distribution.
Least-Squares Estimation.
Reference Priors.
MatLAB Code.
PDF conv. (HQ)
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