Fr. 188.00

Maximum Entropy and Bayesian Methods

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

The 10th International Workshop on Maximum Entropy and Bayesian Methods, MaxEnt 90, was held in Laramie, Wyoming from 30 July to 3 August 1990. This volume contains the scientific presentations given at that meeting. This series of workshops originated in Laramie in 1981, where the first three of what were to become annual workshops were held. The fourth meeting was held in Calgary. the fifth in Laramie, the sixth and seventh in Seattle, the eighth in Cambridge, England, and the ninth at Hanover, New Hampshire. It is most appropriate that the tenth workshop, occurring in the centennial year of Wyoming's statehood, was once again held in Laramie. The original purpose of these workshops was twofold. The first was to bring together workers from diverse fields of scientific research who individually had been using either some form of the maximum entropy method for treating ill-posed problems or the more general Bayesian analysis, but who, because of the narrow focus that intra-disciplinary work tends to impose upon most of us, might be unaware of progress being made by others using these same techniques in other areas. The second was to introduce to those who were somewhat aware of maximum entropy and Bayesian analysis and wanted to learn more, the foundations, the gestalt, and the power of these analyses. To further the first of these ends, presenters at these workshops have included workers from area. s as varied as astronomy, economics, environmenta.

List of contents

Notes on Present Status and Future Prospects.- Bayesian Methods and Entropy in Economics and Econometrics.- The Role of Priors in Active Bayesian Learning in the Sequential Statistical Decision Framework.- The Principle of Maximum Entropy and the Difference Between Risk and Uncertainty.- Analysis of Lunar Occultation Data.- The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code.- Computational Problems and Signal Processing in SETI.- Maximum Entropy in Condensed Matter Theory.- Entropy Maximization in Nuclear Physics.- Applications of Maxent to Quantum Monte Carlo.- Maximum Entropy Applications in Radar.- The Application of Maximum Entropy Signal Processing to Ultrasonic Surface Parameterisation.- Steel Characterization using Bayesian Analysis of Barkhausen Noise.- Bayesian Spectral Analysis of Reflectivity Data.- On the Assignment of Prior Expectation Values and a Geometric Means of Maximizing - Tr?ln#x03C1; Constrained by Measured Expectation Values.- The Evaluation and Predictive Properties of the "MemSys3" Algorithm.- The Evolution of Our Probability Image for the Spin Orientation of a Spin-1/2 - Ensemble As Measurements Are Made on Several Members of the Ensemble - Connections with Information Theory and Bayesian Statistics.- Stochasticity in Nature, and Its Consequences.- Reasoning with Maximum Entropy in Expert Systems.- Some Applications of the Bayesian, Maximum-Entropy Concept in Geostatistics.- Maximum Entropy Image Reconstruction of DNA Sequencing Data.- Maximum Entropy Connections: Neural Networks.- Quantifying Drug Absorption.- Energy Flow-Networks and the Maximum Entropy Formalism.- On Parameter Estimation and Quantified Maxent.- A Subpixel Deconvolution Method for Astronomical Images.- Maximum Entropy Prior Laws ofImages and Estimation of their Parameters.- Two New Methods for Retrieving an Image from Noisy, Incomplete Data, and Comparison with the Cambridge Maxent Package.- Rayleigh Task Performance as A Method To Evaluate Image Reconstruction Algorithms.- Maximum Entropy Image Construction of the Galaxy M51.- The Image Reconstruction Contest.- Moment Estimation using Bayesian Probability Theory.- Maximum Entropy with Poisson Statistics.- From Euclid to Entropy.- Bayesian Interpolation.- Ockham's Razor.- Probabilistic Displays.

Product details

Assisted by W. T. Grandy (Editor), Walter Grandy (Editor), Walter T. Grandy (Editor), W. T. Grandy Jr. (Editor), W.T. Grandy Jr. (Editor), Walter Grandy Jr. (Editor), H Schick (Editor), H Schick (Editor), L. H. Schick (Editor), L.H. Schick (Editor), T Grandy Jr (Editor), W T Grandy Jr (Editor)
Publisher Springer Netherlands
 
Languages English
Product format Hardback
Released 30.06.2009
 
EAN 9780792311409
ISBN 978-0-7923-1140-9
No. of pages 371
Weight 721 g
Illustrations XII, 371 p.
Series Fundamental Theories of Physics
Fundamental Theories of Physics
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.