Bayesian Inference by Hanns L Harney
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that 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. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.-
Continuum Mechanics
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High-Resolution X-Ray Scattering
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Space Physics
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Path Integrals in Field Theory
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Principles of Surface Physics
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Fundamentals of Applied Dynamics
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Quantum Nonlinear Optics
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Molecular Physics and Elements of Quantum Chemistry
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Semiconductor Physics
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The Physics of Free Electron Lasers
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Nonlinear Optics in Telecommunications
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Photoelectron Spectroscopy
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Statistical Physics of Polymers
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Continuum Mechanics and Theory of Materials
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Gyrotrons
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Synchrotron Radiation
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Understanding Viscoelasticity
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Optical Near Fields
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Quantum Mechanics
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Coherent Optics
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Classical Relativistic Electrodynamics
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Electromagnetic Noise and Quantum Optical Measurements
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Semiconductor Optics and Transport Phenomena
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Solid State Physics of Finite Systems
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Introduction to Optics
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Extreme Nonlinear Optics
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Dark Matter in Astro- and Particle Physics
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Statistical Mechanics
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Nonlinear Dynamics
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Foundations of Nanomechanics
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)
Hanns Ludwig Harney, born in 1939, professor at the University of Heidelberg. He has contributed to experimental and theoretical physics within the Max-Planck Institute for Nuclear Physics at Heidelberg. His interest is focused on symmetries, such as isospin and its violation, as well as chaos, observed as reproducible fluctuations. Since the 1990's, the symmetry properties of common probability distributions lead him to a reformulation of Bayesian inference.
| SKU | Unavailable |
| ISBN 13 | 9783642055775 |
| ISBN 10 | 364205577X |
| Title | Bayesian Inference |
| Author | Hanns L Harney |
| Series | Advanced Texts In Physics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-12-15 |
| Number of pages | 263 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |