Bayes' Rule

Bayes' Rule : A Tutorial Introduction to Bayesian Analysis

3.97 (117 ratings by Goodreads)
By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 3 business days
When will my order arrive?

Description

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 a perceive a three-dimensional world from from the three-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.
show more

Product details

  • Paperback | 184 pages
  • 152 x 229 x 9mm | 255g
  • James V Stone
  • Sheffield, United Kingdom
  • English
  • black & white illustrations
  • 0956372848
  • 9780956372840
  • 91,556

Review quote

"A crackingly clear tutorial for beginners. Exactly the sort of book required for those taking their first steps in Bayesian analysis." Dr Paul A. Warren. School of Psychological Sciences, University of Manchester. "This book is short and eminently readable. It introduces the Bayesian approach to addressing statistical issues without using any advanced mathematics, which should make it accessible to students from a wide range of backgrounds, including biological and social sciences." Dr Devinder Sivia. Lecturer in Mathematics, St John's College, Oxford University, and author of Data Analysis: A Bayesian Tutorial. "For those with a limited mathematical background, Stone's book provides an ideal introduction to the main concepts of Bayesian analysis. " Dr Peter M Lee. Department of Mathematics, University of York. Author of Bayesian Statistics: An Introduction. "Bayesian analysis involves concepts which can be hard for the uninitiated to grasp. Stone's patient pedagogy and gentle examples convey these concepts with uncommon lucidity. " Dr Charles Fox. Department of Computer Science, University of Sheffield.
show more

About James V. Stone

Dr James Stone is a Reader in Vision and Computational Neuroscience at the University of Sheffield, England.
show more

Rating details

117 ratings
3.97 out of 5 stars
5 27% (32)
4 45% (53)
3 25% (29)
2 3% (3)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X