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Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems

Proceedings of the Third Workshop on Maximum Entropy and Bayesian Methods in Applied Statistics, Wyoming, U.S.A., August 1–4, 1983

  • Conference proceedings
  • © 1987

Overview

Editors:
  1. C. Ray Smith

    1. U.S. Army Missile Command, Redstone Arsenal, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Gary J. Erickson

    1. Department of Electrical Engineering, Seattle University, Seattle, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Fundamental Theories of Physics (FTPH, volume 21)

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Table of contents (20 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Bayesian Spectrum and Chirp Analysis

    • E. T. Jaynes
    Pages 1-37

  3. On Entropy Rate

    • Athanasios Papoulis
    Pages 39-49

  4. State Spaces and Initial Estimates in Minimum Relative-Entropy Inversion with Application to Spectrum Analysis and Image Enhancement

    • John E. Shore
    Pages 51-56

  5. Relative-Entropy Minimization with Uncertain Constraints: Theory and Application to Spectrum Analysis

    • Rodney W. Johnson
    Pages 57-73

  6. A Proof of Burg’s Theorem

    • B. S. Choi, Thomas M. Cover
    Pages 75-84

  7. A Bayesian Approach to Robust Local Facet Estimation

    • Robert M. Haralick
    Pages 85-97

  8. The Maximum Entropy Method: The Problem of Missing Data

    • William I. Newman
    Pages 99-125

  9. On the Accuracy of Spectrum Analysis of Red Noise Processes Using Maximum Entropy and Periodogram Methods: Simulation Studies and Application to Geophysical Data

    • Paul F. Fougere
    Pages 127-148

  10. Recent Developments at Cambridge

    • Stephen F. Gull, John Skilling
    Pages 149-160

  11. Prior Knowledge Must be Used

    • John Skilling, Stephen F. Gull
    Pages 161-172

  12. How the Brain Works: The Next Great Scientific Revolution

    • David Hestenes
    Pages 173-205

  13. Maximum Entropy in Structural Molecular Biology: The Fiber Diffraction Phase Problem

    • Richard K. Bryan
    Pages 207-228

  14. A Method of Computing Maximum Entropy Probability Values for Expert Systems

    • Peter Cheeseman
    Pages 229-240

  15. Special-Purpose Algorithms for Linearly Constrained Entropy Maximization

    • Yair Censor, Tommy Elfving, Gabor T. Herman
    Pages 241-254

  16. Bayesian Approach to Limited-Angle Reconstruction in Computed Tomography

    • Kenneth M. Hanson, George W. Wecksung
    Pages 255-272

  17. Application of the Maximum Entropy Principle to Retrieval from Large Data Bases

    • Paul B. Kantor
    Pages 273-281

  18. Two Recent Applications of Maximum Entropy

    • Lee H. Schick
    Pages 283-293

  19. A Variational Method For Classical Fluids

    • Ramarao Inguva, C. Ray Smith, T. M. Huber, Gary Erickson
    Pages 295-304

  20. Updating Inductive Inference

    • N. C. Dalkey
    Pages 305-316
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Keywords

About this book

This volume has its origin in the third ·Workshop on Maximum-Entropy and Bayesian Methods in Applied Statistics,· held at the University of Wyoming, August 1 to 4, 1983. It was anticipated that the proceedings of this workshop could not be prepared in a timely fashion, so most of the papers were not collected until a year or so ago. Because most of the papers are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from differ­ ent fields to examine critically maximum-entropy and Bayesian methods in science, engineering, medicine, economics, and other disciplines. Some of the papers were chosen specifically to kindle interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayes­ ian method.

Editors and Affiliations

  • U.S. Army Missile Command, Redstone Arsenal, USA

    C. Ray Smith

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

    Gary J. Erickson

Bibliographic Information

  • Book Title: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems

  • Book Subtitle: Proceedings of the Third Workshop on Maximum Entropy and Bayesian Methods in Applied Statistics, Wyoming, U.S.A., August 1–4, 1983

  • Editors: C. Ray Smith, Gary J. Erickson

  • Series Title: Fundamental Theories of Physics

  • DOI: https://doi.org/10.1007/978-94-009-3961-5

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: D. Reidel Publishing Company, Dordrecht, Holland 1987

  • Hardcover ISBN: 978-90-277-2579-0Published: 30 September 1987

  • Softcover ISBN: 978-94-010-8257-0Published: 13 October 2011

  • eBook ISBN: 978-94-009-3961-5Published: 06 December 2012

  • Series ISSN: 0168-1222

  • Series E-ISSN: 2365-6425

  • Edition Number: 1

  • Number of Pages: 332

  • Topics: Statistical Theory and Methods

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