Bayes' Rule : A Tutorial Introduction to Bayesian Analysis

James V Stone

ISBN 10: 0956372899 / ISBN 13: 9780956372895

Verlag: Sebtel Press, 2013

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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.

Bestandsnummer des Verkäufers 9780956372895

Bibliografische Details

• Titel: Bayes' Rule : A Tutorial Introduction to Bayesian Analysis
• Verlag: Sebtel Press
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 0956372899
• ISBN-13: 9780956372895
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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 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.

Über die Autorin bzw. den Autor

James V Stone is an Honorary Associate Professor at the University of Sheffiled, England.