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Maximum entropy and Bayesian methods in applied statistics : proceedings of the Fourth Maximum Entropy Workshop, University of Calgary, 1984

Author: James H Justice
Publisher: Cambridge [Cambridgeshire] ; New York : Cambridge University Press, 1986.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application.  Read more...

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Genre/Form: Conference papers and proceedings
Congresses
Congrès
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: James H Justice
ISBN: 0521323800 9780521323802
OCLC Number: 13903722
Description: 319 pages : illustrations ; 25 cm
Contents: 1. Bayesian Methods: General Background E. T Jaynes; 2. Monkeys, Kangaroos, and N E. T Jaynes; 3. The Theory and Practice of the Maximum Entropy Formalism R. D. Levine; 4. Bayesian Non-Parametric Statistics Stephen F. Gull and John Fielden; 5. Generalized Entropies and the Maximum Entropy Principle J. Aczel and B. Forte; 6. The Probability of a Probability John F. Cyranski; 7. Prior Probabilities Revisited N. C Dalkey; 8. Band Extensions, Maximum Entropy and the Permanence Principle Robert L. Ellis, Israel Gohberg and David Lay; 9. Theory of Maximum Entropy Image Reconstruction John Skilling; 10. The Cambridge Maximum Entropy Algorithm John Skilling; 11. Maximum Entropy and the Moments Problem: Spectroscopic Applications C. G. Gray; 12. Maximum-Entropy Spectrum from a Non-Extendable Autocorrelation Function Paul F. Fougere; 13. Multichannel Maximum Entropy Spectral Analysis Using Least Squares Modelling P. A. Tyraskis; 14. Multichannel Relative-Entropy Spectrum Analysis Bruce R. Musicus and Rodney W. Johnson; 15. Maximum Entropy and the Earth's Density E. Rietsch; 16. Entropy and Some Inverse Problems in Exploration Seismology James H. Justice; 17. Principle of Maximum Entropy and Inverse Scattering Problems Ramarao Inguva and James Baker-Jarvis.
Responsibility: edited by James H. Justice.
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