ISBN: 9789401134606
The 10th International Workshop on Maximum Entropy and Bayesian Methods, MaxEnt 90, was held in Laramie, Wyoming from 30 July to 3 August 1990. This volume contains the scientific present… Meer...
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ISBN: 9789401134606
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ISBN: 9789401134606
The 10th International Workshop on Maximum Entropy and Bayesian Methods, MaxEnt 90, was held in Laramie, Wyoming from 30 July to 3 August 1990. This volume contains the scientific present… Meer...
ISBN: 9789401134606
Statistics; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics, general Statistica, algorithm, bayesian statistics, information theory, neural… Meer...
ISBN: 9789401134606
Statistics; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics, general Statistica, algorithm, bayesian statistics, information theory, neural… Meer...
ISBN: 9789401134606
Maximum Entropy and Bayesian Methods - Laramie Wyoming 1990: ab 128.49 € eBooks > Fachthemen & Wissenschaft > Mathematik Springer Netherlands eBook als pdf, Springer Netherlands
2012, ISBN: 9789401134606
Laramie, Wyoming, 1990, eBooks, eBook Download (PDF), [PU: Springer Netherlands], Springer Netherlands, 2012
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Gedetalleerde informatie over het boek. - Maximum Entropy and Bayesian Methods
EAN (ISBN-13): 9789401134606
Verschijningsjaar: 2012
Uitgever: Springer Netherlands
Boek bevindt zich in het datenbestand sinds 2017-05-22T23:21:10+02:00 (Amsterdam)
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ISBN/EAN: 9789401134606
ISBN - alternatieve schrijfwijzen:
978-94-011-3460-6
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Titel van het boek: maximum entropy and bayesian methods
Gegevens van de uitgever
Auteur: W.T. Grandy Jr.; L.H. Schick
Titel: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods - Laramie, Wyoming, 1990
Uitgeverij: Springer; Springer Netherland
371 Bladzijden
Verschijningsjaar: 2012-12-06
Dordrecht; NL
Taal: Engels
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XII, 371 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Statistica; algorithm; bayesian statistics; information theory; neural networks; probability; statistics; C; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics; Physics and Astronomy; BC
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.Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
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