Bayes' Rule 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. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams. 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.
James V.Stone is a Reader at the University of Sheffield's Psychology Department. He is one of the coauthors (together with John P. Frisby) is the author of Independent Component Analysis: A Tutorial Introduction (MIT Press, 2004) and the widely used classic Seeing: The Computational Approach to Biological Vision (second edition, MIT Press, 2010).
| SKU | Unavailable |
| ISBN 13 | 9780956372840 |
| ISBN 10 | 0956372848 |
| Title | Bayes' Rule |
| Author | James V Stone |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Sebtel Press |
| Year published | 2013-06-04 |
| Number of pages | 184 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |