Bayesian Field Theory - Couverture rigide

Lemm, Jörg C.

Couverture rigide

ISBN 10 : 0801872200 ISBN 13 : 9780801872204

Editeur : Johns Hopkins University Press, 2003

Synopsis

Ask a traditional mathematician the likely outcome of a coin-toss, and he will reply that no evidence exists on which to base such a prediction. Ask a Bayesian, and he will examine the coin, conclude that it was probably not tampered with, and predict five hundred heads in a thousand tosses; a subsequent experiment would then be used to refine this prediction. The Bayesian approach, in other words, permits the use of prior knowledge when testing a hypothesis.

Long the province of mathematicians and statisticians, Bayesian methods are applied in this ground-breaking book to problems in cutting-edge physics. Joerg Lemm offers practical examples of Bayesian analysis for the physicist working in such areas as neural networks, artificial intelligence, and inverse problems in quantum theory. The book also includes nonparametric density estimation problems, including, as special cases, nonparametric regression and pattern recognition. Thought-provoking and sure to be controversial, Bayesian Field Theory will be of interest to physicists as well as to other specialists in the rapidly growing number of fields that make use of Bayesian methods.

A propos du livre

À propos de l?auteur

Jörg C. Lemm is a former teacher of physics and psychology at the University of Muenster, Germany, and has worked in the areas of statistics, decision theory, and neural networks.

Détails de l'édition

• Éditeur: Johns Hopkins University Press
• Date d'édition: 2003
• Langue: anglais
• ISBN 10: 0801872200
• ISBN 13: 9780801872204
• Reliure: Relié
• Nombre de pages: 432
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible