Overview
- Brings a basic introduction for advanced undergraduates and graduates
- With applications to physics
- Works also w/o thorough knowledge of quantum mechanics
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Texts in Physics (ADTP)
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Table of contents (17 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Filling a longstanding need in the physical sciences, Bayesian Inference offers the first basic introduction for advanced undergraduates and graduates in the physical sciences. This text and reference generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This usually occurs in frontier science because the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins. In this case, the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. Requiring no knowledge of quantum mechanics, the text is written on introductory level, with many examples and exercises, for physicists planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.
Reviews
From the reviews:
"The book under review combines features of a textbook and a monograph. … Arguments are presented as explicitly as possible with the aid of appendices … . There are numerous examples and illustrations, often taken from physics research. Problems are posed and their solutions are provided." (Joseph Melamed, Zentralblatt MATH, Vol. 1019, 2003)
Authors and Affiliations
Bibliographic Information
Book Title: Bayesian Inference
Book Subtitle: Parameter Estimation and Decisions
Authors: Hanns L. Harney
Series Title: Advanced Texts in Physics
DOI: https://doi.org/10.1007/978-3-662-06006-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-642-05577-5Published: 15 December 2010
eBook ISBN: 978-3-662-06006-3Published: 14 March 2013
Series ISSN: 1439-2674
Edition Number: 1
Number of Pages: XIII, 263
Topics: Probability Theory and Stochastic Processes, Quantum Information Technology, Spintronics, Quantum Physics, Complex Systems, Statistical Theory and Methods, Computational Mathematics and Numerical Analysis