Bayes' Rule: A Tutorial Introduction to Bayesian Analysis - Hardcover

Stone, Dr James V

Hardcover

ISBN 10: 0993367917 ISBN 13: 9780993367915

Publisher: Sebtel Press, 2015

Synopsis

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 using the MatLab and Python programs provided online. 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.

About this title

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 the Author

Get FREE first chapters plus MatLab, Python and R code at: goo.gl/HMtztb Books: Principles of Neural Information Theory, 2018. Information Theory: A Tutorial Introduction. Bayes' Rule: A Tutorial Introduction. Bayes' Rule With MatLab: A Tutorial Introduction. Bayes' Rule With Python: A Tutorial Introduction. Bayes' Rule With R: A Tutorial Introduction. Vision and Brain: How we perceive the world. Seeing (with J Frisby). Independent Component Analysis: A Tutorial Introduction. Dr James V Stone, Honorary Reader, University of Sheffield, UK.

Edition details

• Publisher: Sebtel Press
• Publication date: 2015
• Language: English
• ISBN 10: 0993367917
• ISBN 13: 9780993367915
• Binding: Hardcover
• Number of pages: 182