Bayes' Rule: A Tutorial Introduction to Bayesian Analysis - Couverture rigide

Stone, James V.

Couverture rigide

ISBN 10 : 0993367917 ISBN 13 : 9780993367915

Editeur : 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.

A propos du livre

Présentation de l'éditeur

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 commonsense reasoning. Bayes' rule is derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab programs provided. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis.

Biographie de l'auteur

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

Détails de l'édition

• Éditeur: Sebtel Press
• Date d'édition: 2015
• Langue: anglais
• ISBN 10: 0993367917
• ISBN 13: 9780993367915
• Reliure: Relié
• Nombre de pages: 182
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible