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 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 common sense 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.

From the Back Cover

"Bayes' Rule explains in a very easy to follow manner the basics of Bayesian analysis." Dr Inigo Arregui,

Ramon y Cajal Researcher, Institute of Astrophysics, Spain.

"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.

"About this title" may belong to another edition of this title.

Store Description

Welcome to the Solr Books & Books4Cause AbeBooks page! We are a social venture dedicated to supporting social causes, education, and community through a business model. Books4Cause doesn?t raise funds or rely on government grants. All of our funding comes from selling a portion of used books donated to us. Our main goal is to recirculate books back into the hands of people who will read and treasure them. We support both local and global initiatives. Through partnering with the African Library Project, we have built over 120 libraries in nursery schools, elementary schools, high schools, and universities across 18 countries in Africa. Our pop-up free library program in Chicago distributes free books in under-served neighborhoods throughout the city, giving necessary resources to children, adults, and families who otherwise may not have been able to access them. For more information on what we do, or how you can help, go to books4cause.com

Visit Seller's Storefront

Seller's business information

Solr Books
IL, U.S.A.

Sale & Shipping Terms

Terms of Sale

We guarantee the condition of every book as it's described on the Abebooks web
sites. If you're dissatisfied with your purchase (Incorrect Book/Not as
Described/Damaged) or if the order hasn't arrived, you're eligible for a refund
within 30 days of the estimated delivery date. If you've changed your mind about a
book that you've ordered, please use the Ask bookseller a question link to contact
us and we'll respond within 2 business days.

Shipping Terms

Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.