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 Title Bayesian Field Theory
 Author(s) Jorg C. Lemm
 Publisher: Johns Hopkins University Press (June 6, 2003)
 Hardcover 432 pages
 eBook PDF, PostScript, etc.
 Language: English
 ISBN10: 0801872200
 ISBN13: 9780801872204
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Book Description
Ask a traditional mathematician the likely outcome of a cointoss, 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 groundbreaking book to problems in cuttingedge 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. Thoughtprovoking 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.
About the Authors Jorg 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.




















