Maximum Entropy and Bayesian Methods: Laramie, Wyoming, 1990 (Fundamental Theories of Physics)

Grandy Jr., W.T., Schick, L.H.

ISBN 10: 079231140X / ISBN 13: 9780792311409

Editore: Kluwer Academic, 1991

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371 pp., Hardcover, minor library markings else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Codice articolo ZB1229323

Dati bibliografici

• Titolo: Maximum Entropy and Bayesian Methods: Laramie, Wyoming, 1990 (Fundamental Theories of Physics)
• Editore: Kluwer Academic
• Data di pubblicazione: 1991
• Lingua: Inglese
• ISBN 10: 079231140X
• ISBN 13: 9780792311409
• Rilegatura: Rilegato
• Condizione: Very Good

Descrizione articolo

Riassunto

While spending the summer at her cousin's farm in upper New York State, Lexi finds that, of all her cousins, only withdrawn Jeb, offers her friendship and Lexi decides to help him attain his heart's desire

Contenuti

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 of Images 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.