Book contents
- Frontmatter
- Contents
- Preface
- Donors
- Bayesian Methods: General Background
- Monkeys, Kangaroos, and N
- The Theory and Practice of the Maximum Entropy Formalism
- Bayesian Non-Parametric Statistics
- Generalized Entropies and the Maximum Entropy Principle
- The Probability of a Probability
- Prior Probabilities Revisited
- Band Extensions, Maximum Entropy and the Permanence Principle
- Theory of Maximum Entropy Image Reconstruction
- The Cambridge Maximum Entropy Algorithm
- Maximum Entropy and the Moments Problem: Spectroscopic Applications
- Maximum-Entropy Spectrum from a Non-Extendable Autocorrelation Function
- Multichannel Maximum Entropy Spectral Analysis Using Least Squares Modelling
- Multichannel Relative-Entropy Spectrum Analysis
- Maximum Entropy and the Earth's Density
- Entropy and Some Inverse Problems in Exploration Seismology
- Principle of Maximum Entropy and Inverse Scattering Problems
- Index
Preface
Published online by Cambridge University Press: 04 May 2010
- Frontmatter
- Contents
- Preface
- Donors
- Bayesian Methods: General Background
- Monkeys, Kangaroos, and N
- The Theory and Practice of the Maximum Entropy Formalism
- Bayesian Non-Parametric Statistics
- Generalized Entropies and the Maximum Entropy Principle
- The Probability of a Probability
- Prior Probabilities Revisited
- Band Extensions, Maximum Entropy and the Permanence Principle
- Theory of Maximum Entropy Image Reconstruction
- The Cambridge Maximum Entropy Algorithm
- Maximum Entropy and the Moments Problem: Spectroscopic Applications
- Maximum-Entropy Spectrum from a Non-Extendable Autocorrelation Function
- Multichannel Maximum Entropy Spectral Analysis Using Least Squares Modelling
- Multichannel Relative-Entropy Spectrum Analysis
- Maximum Entropy and the Earth's Density
- Entropy and Some Inverse Problems in Exploration Seismology
- Principle of Maximum Entropy and Inverse Scattering Problems
- Index
Summary
The Fourth Workshop on Maximum Entropy and Bayesian Methods in Applied Statistics was held in Calgary, Alberta, at the University of Calgary, August 5–8, 1984. The workshop continued a three-year tradition of workshops begun at the University of Wyoming, in Laramie, attended by a small number of researchers who welcomed the opportunity to meet and to exchange ideas and opinions on these topics. From small beginnings, the workshop has continued to grow in spite of any real official organization or basis for funding and there always seems to be great interest in “doing it again next year.”
This volume represents the proceedings of the fourth workshop and includes one additional invited paper which was not presented at the workshop but which we are pleased to include in this volume (Ellis, Gohberg, Lay). The fourth workshop also made a point of scheduling several exceptional tutorial lectures by some of our noted colleagues, Ed Jaynes, John Burg, John Shore, and John Skilling. These tutorial lectures were not all written up for publication and we especially regret that the outstanding lectures by John Burg and John Shore must go unrecorded.
The depth and scope of the papers included in this volume attest, I believe, to the growing awareness of the importance of maximum entropy and Bayesian methods in the pure and applied sciences and perhaps serve to indicate that much remains to be done and many avenues are yet to be explored.
- Type
- Chapter
- Information
- Maximum Entropy and Bayesian Methods in Applied StatisticsProceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984, pp. vii - viiiPublisher: Cambridge University PressPrint publication year: 1986