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  • © 1992

Maximum Entropy and Bayesian Methods

Seattle, 1991

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

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Table of contents (35 chapters)

  1. Front Matter

    Pages i-ix
  2. The Gibbs Paradox

    • E. T. Jaynes
    Pages 1-21
  3. Bayesian Interpolation

    • David J. C. MacKay
    Pages 39-66
  4. Dimensional Analysis in Data Modelling

    • G. A. Vignaux
    Pages 121-126
  5. Entropies of Likelihood Functions

    • Michael Hardy
    Pages 127-130
  6. Entropy of Form and Hierarchic Organization

    • J. Wagensberg, R. Pastor
    Pages 141-151
  7. A Bayesian Looks at the Anthropic Principle

    • A. J. M. Garrett
    Pages 153-164
  8. The Evidence for Neural Networks

    • David J. C. MacKay
    Pages 165-183
  9. Bayesian Mixture Modeling

    • Radford M. Neal
    Pages 197-211
  10. Point-Process Theory and the Surveillance of Many Objects

    • John M. Richardson, Kenneth A. Marsh
    Pages 213-220
  11. Memsys as Debugger

    • Tj. Romke Bontekoe, Do Kester
    Pages 235-240
  12. Entropy and Sunspots: Their Bearing on Time-Series

    • Brian Buck, Vincent A. Macaulay
    Pages 241-252
  13. Basic Concepts in Multisensor Data Fusion

    • John M. Richardson, Kenneth A. Marsh
    Pages 253-271

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.

Editors and Affiliations

  • Research, Development and Engineering Center, U.S. Missile Command, Redstone, USA

    C. Ray Smith

  • Department of Electrical Engineering, Seattle University, Seattle, USA

    Gary J. Erickson, Paul O. Neudorfer

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access