Maximum Entropy and Bayesian Methods: Laramie, Wyoming, 1990: Fundamental Theories of Physics, cartea 43
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Specificații
ISBN-13: 9789401055314
ISBN-10: 9401055319
Pagini: 388
Ilustrații: XII, 371 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Fundamental Theories of Physics
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9401055319
Pagini: 388
Ilustrații: XII, 371 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Fundamental Theories of Physics
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Notes on Present Status and Future Prospects.- Bayesian Methods and Entropy in Economics and Econometrics.- The Role of Priors in Active Bayesian Learning in the Sequential Statistical Decision Framework.- The Principle of Maximum Entropy and the Difference Between Risk and Uncertainty.- Analysis of Lunar Occultation Data.- The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code.- Computational Problems and Signal Processing in SETI.- Maximum Entropy in Condensed Matter Theory.- Entropy Maximization in Nuclear Physics.- Applications of Maxent to Quantum Monte Carlo.- Maximum Entropy Applications in Radar.- The Application of Maximum Entropy Signal Processing to Ultrasonic Surface Parameterisation.- Steel Characterization using Bayesian Analysis of Barkhausen Noise.- Bayesian Spectral Analysis of Reflectivity Data.- On the Assignment of Prior Expectation Values and a Geometric Means of Maximizing — Tr?ln#x03C1; Constrained by Measured Expectation Values.- The Evaluation and Predictive Properties of the “MemSys3” Algorithm.- The Evolution of Our Probability Image for the Spin Orientation of a Spin-1/2 — Ensemble As Measurements Are Made on Several Members of the Ensemble — Connections with Information Theory and Bayesian Statistics.- Stochasticity in Nature, and Its Consequences.- Reasoning with Maximum Entropy in Expert Systems.- Some Applications of the Bayesian, Maximum-Entropy Concept in Geostatistics.- Maximum Entropy Image Reconstruction of DNA Sequencing Data.- Maximum Entropy Connections: Neural Networks.- Quantifying Drug Absorption.- Energy Flow-Networks and the Maximum Entropy Formalism.- On Parameter Estimation and Quantified Maxent.- A Subpixel Deconvolution Method for Astronomical Images.- Maximum Entropy Prior Laws ofImages and Estimation of their Parameters.- Two New Methods for Retrieving an Image from Noisy, Incomplete Data, and Comparison with the Cambridge Maxent Package.- Rayleigh Task Performance as A Method To Evaluate Image Reconstruction Algorithms.- Maximum Entropy Image Construction of the Galaxy M51.- The Image Reconstruction Contest.- Moment Estimation using Bayesian Probability Theory.- Maximum Entropy with Poisson Statistics.- From Euclid to Entropy.- Bayesian Interpolation.- Ockham’s Razor.- Probabilistic Displays.