Opening book details…
Can I read Bayes' rule : a tutorial introduction to Bayesian analysis on EtoBox?
Bayes' rule : a tutorial introduction to Bayesian analysis by James V. Stone is a mathematics available to read on EtoBox.
What is Bayes' rule : a tutorial introduction to Bayesian analysis about?
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.
Who reads Bayes' rule : a tutorial introduction to Bayesian analysis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- James V. Stone
- Publisher
- Sebtel Press
- Published
- 2013
- Language
- EN
- ISBN
- 9780993367915
- Category
- mathematics
- Subjects
- Mathematics, Stem
- Rating
- 4.4 / 5 (150 ratings)
- Updated
- 2026-03-14
More by James V. Stone
Browse all works by James V. Stone
Similar books
- Doing Bayesian Data Analysis : a Tutorial Introduction with R and BUGS — John K. Kruschke (2010)
- Tutorial Introduction to Bayesian Methods — Jaynes E.T. (1996)
- Data Analysis: A Bayesian Tutorial (Oxford Science Publications) — D. S. Sivia (1996)
- The BUGS Book : A Practical Introduction to Bayesian Analysis — David Lunn; Chris Jackson; Nicky Best; Andrew Thomas; David Spiegelhalter (2012)
- Think Bayes : Bayesian statistics in Python — Allen B. Downey (2021)
- Bayes’ Theorem Examples : A visual introduction for beginners — Dan Morris (2016)