Bayes' Rule With R: 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. 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 book includes R (3.2) code snippets, which reproduce key numerical results and diagrams.

186 pages, Paperback

Published May 26, 2016

About the author

Honorary Associate Professor, University of Sheffield, England.

Reviews

[Mark LaCour · Rating 4 out of 5]

Very, very good, easy intro to Bayes' theorem except for the massive difficulty curve that comes about 2/3 through.