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Maximum Entropy and Bayesian Methods

  • Paul F. Fougère

Part of the Fundamental Theories of Physics book series (FTPH, volume 39)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. E. T. Jaynes
    Pages 1-16
  3. C. Ray Smith, Gary J. Erickson
    Pages 17-30
  4. Carlos C. Rodriguez
    Pages 31-39
  5. Charles P. Sonett
    Pages 143-159
  6. D. Burton, G. J. Moore, W. J. Fitzgerald
    Pages 185-194
  7. N. Rivier, R. Englman, R. D. Levine
    Pages 233-242
  8. A. J. M. Garrett
    Pages 251-271
  9. David Montgomery, Lee Phillips
    Pages 281-296
  10. Jacqueline Yao, Nathan Ida, Louis Roemer, Ke-Sheng Huo
    Pages 309-324
  11. John Skilling
    Pages 341-350
  12. Sibusiso Sibisi
    Pages 351-358
  13. G. R. Heidbreder, F. van Roekeghem
    Pages 359-368
  14. R. A. Gonsalves, J. P. Kennealy, R. M. Korte, S. D. Price
    Pages 369-382
  15. M. Barth, J. L. Denny, T. A. Gooley
    Pages 383-389
  16. J. N. Kapur, H. K. Kesavan
    Pages 433-450
  17. J. F. Cyranski
    Pages 463-473
  18. Back Matter
    Pages 475-481

About this book

Introduction

This volume represents the proceedings of the Ninth Annual MaxEnt Workshop, held at Dartmouth College in Hanover, New Hampshire, on August 14-18, 1989. These annual meetings are devoted to the theory and practice of Bayesian Probability and the Maximum Entropy Formalism. The fields of application exemplified at MaxEnt '89 are as diverse as the foundations of probability theory and atmospheric carbon variations, the 1987 Supernova and fundamental quantum mechanics. Subjects include sea floor drug absorption in man, pressures, neutron scattering, plasma equilibrium, nuclear magnetic resonance, radar and astrophysical image reconstruction, mass spectrometry, generalized parameter estimation, delay estimation, pattern recognition, heave responses in underwater sound and many others. The first ten papers are on probability theory, and are grouped together beginning with the most abstract followed by those on applications. The tenth paper involves both Bayesian and MaxEnt methods and serves as a bridge to the remaining papers which are devoted to Maximum Entropy theory and practice. Once again, an attempt has been made to start with the more theoretical papers and to follow them with more and more practical applications. Papers number 29, 30 and 31, by Kesaven, Seth and Kapur, represent a somewhat different, perhaps even "unorthodox" viewpoint, and are included here even though the editor and, indeed many in the audience at Dartmouth, disagreed with their content. I feel that scientific disagreements are essential in any developing field, and often lead to a deeper understanding.

Keywords

Maximum entropy method Probability theory Radar linear regression logic mechanics quantum mechanics

Editors and affiliations

  • Paul F. Fougère
    • 1
  1. 1.Department of MathematicsMassachusetts Institute of TechnologyCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-0683-9
  • Copyright Information Springer Science+Business Media B.V. 1990
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-6792-8
  • Online ISBN 978-94-009-0683-9
  • Buy this book on publisher's site
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