Maximum-Entropy and Bayesian Methods in Science and Engineering [E-Book] : Foundations / edited by Gary J. Erickson, C. Ray Smith.
This volume has its origin in the Fifth, Sixth and Seventh Workshops on and Bayesian Methods in Applied Statistics", held at "Maximum-Entropy the University of Wyoming, August 5-8, 1985, and at Seattle University, August 5-8, 1986, and August 4-7, 1987. It was anticipated that the proceedi...
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Full text |
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Personal Name(s): | Erickson, Gary J., editor |
Smith, C. Ray, editor | |
Imprint: |
Dordrecht :
Springer,
1988
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Physical Description: |
X, 314 p. 17 illus. online resource. |
Note: |
englisch |
ISBN: |
9789400930490 |
DOI: |
10.1007/978-94-009-3049-0 |
Series Title: |
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Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application ;
31-32 |
Subject (LOC): |
- How does the Brain Do Plausible Reasoning?
- The Relation of Bayesian and Maximum Entropy Methods
- An Engineer Looks at Bayes
- Bayesian Inductive Inference and Maximum Entropy
- Excerpts from Bayesian Spectrum Analysis and Parameter Estimation
- Detection of Extra-Solar System Planets
- Stochastic Complexity and the Maximum Entropy Principle
- The Axioms of Maximum Entropy
- Understanding Ignorance
- Maximum Entropy Calculations on a Discrete Probability Space
- Quantum Density Matrix and Entropic Uncertainty
- Information-Theoretical Generalization of the Uncertainty Principle
- Time, Energy, and the Limits of Measurement
- On a Detection Estimator Related to Entropy
- The Evolution of Carnot’s Principle
- A Logic of Information Systems
- Methodological Principles of Uncertainty in Inductive Modelling: A New Perspective
- Comparison of Minimum Cross-Entropy Inference with Minimally Informative Information Systems.