Maximum Entropy and Bayesian Methods

Seattle, 1991

  • C. Ray Smith
  • Gary J. Erickson
  • Paul O. Neudorfer

Part of the Fundamental Theories of Physics book series (FTPH, volume 50)

Table of contents

  1. Front Matter
    Pages i-ix
  2. E. T. Jaynes
    Pages 1-21
  3. David J. C. MacKay
    Pages 39-66
  4. G. A. Vignaux
    Pages 121-126
  5. Michael Hardy
    Pages 127-130
  6. J. Wagensberg, R. Pastor
    Pages 141-151
  7. A. J. M. Garrett
    Pages 153-164
  8. David J. C. MacKay
    Pages 165-183
  9. Radford M. Neal
    Pages 197-211
  10. John M. Richardson, Kenneth A. Marsh
    Pages 213-220
  11. Tj. Romke Bontekoe, Do Kester
    Pages 235-240
  12. Brian Buck, Vincent A. Macaulay
    Pages 241-252
  13. John M. Richardson, Kenneth A. Marsh
    Pages 253-271
  14. Jay R. Lund, James D. Englehardt
    Pages 303-312
  15. A. G. Ferrige, M. J. Seddon, S. Jarvis, J. Skilling, J. Welch
    Pages 327-335
  16. A. G. Ferrige, M. J. Seddon, S. Pennycook, M. F. Chisholm, D. R. T. Robinson
    Pages 337-344
  17. D. Styerwalt, G. Heidbreder
    Pages 377-396
  18. Robert F. Bordley
    Pages 445-448
  19. Jin Yoshimura, Daniel Waterman
    Pages 449-452
  20. Back Matter
    Pages 467-473

About this book


Bayesian probability theory and maximum entropy methods are at the core of a new view of scientific inference. These `new' ideas, along with the revolution in computational methods afforded by modern computers, allow astronomers, electrical engineers, image processors of any type, NMR chemists and physicists, and anyone at all who has to deal with incomplete and noisy data, to take advantage of methods that, in the past, have been applied only in some areas of theoretical physics.
This volume records the Proceedings of Eleventh Annual `Maximum Entropy' Workshop, held at Seattle University in June, 1991. These workshops have been the focus of a group of researchers from many different fields, and this diversity is evident in this volume. There are tutorial papers, theoretical papers, and applications in a very wide variety of fields. Almost any instance of dealing with incomplete and noisy data can be usefully treated by these methods, and many areas of theoretical research are being enhanced by the thoughtful application of Bayes' theorem. The contributions contained in this volume present a state-of-the-art review that will be influential and useful for many years to come.


Interpolation Likelihood MATLAB calculus logic maximum entropy method modeling

Editors and affiliations

  • C. Ray Smith
    • 1
  • Gary J. Erickson
    • 2
  • Paul O. Neudorfer
    • 2
  1. 1.Research, Development and Engineering CenterU.S. Missile CommandRedstoneUSA
  2. 2.Department of Electrical EngineeringSeattle UniversitySeattleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1992
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4220-0
  • Online ISBN 978-94-017-2219-3
  • Buy this book on publisher's site