2010, ISBN: 9789048144075
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 1996, 428 Seiten, Publiziert: 2010-12-06T00:00:01Z, Produktgruppe: Buch, 1.42 kg, Medizin, Kategorien, Bücher, Compu… More...
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2010, ISBN: 9789048144075
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[ED: Kartoniert / Broschiert], [PU: Springer Netherlands], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Thirteenth I… More...
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2010, ISBN: 9048144078
Hardcover
Softcover reprint of hardcover 1st ed. 1996 Kartoniert / Broschiert Bildgebende Verfahren, Wahrscheinlichkeitsrechnung und Statistik, Stochastik, Physik, Künstliche Intelligenz, Estimat… More...
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2010, ISBN: 9048144078
Hardcover
Softcover reprint of hardcover 1st ed. 1996 Kartoniert / Broschiert Bildgebende Verfahren, Wahrscheinlichkeitsrechnung und Statistik, Künstliche Intelligenz, Estimator; algorithms; Baye… More...
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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.s.a., 1993 (Fundamental Theories of Physics) - Paperback
ISBN: 9789048144075
Springer, 1996. Paperback. New. 428 pages., Springer, 1996, 6
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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A. 1993 (Fundamental Theories of Physics) (Fundamental Theories of Physics, 62, Band 62) - Paperback
2010, ISBN: 9789048144075
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 1996, 428 Seiten, Publiziert: 2010-12-06T00:00:01Z, Produktgruppe: Buch, 1.42 kg, Medizin, Kategorien, Bücher, Compu… More...
Heidbreder, Glenn R.:
Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - First edition2010, ISBN: 9789048144075
Paperback
[ED: Kartoniert / Broschiert], [PU: Springer Netherlands], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Thirteenth I… More...
2010
ISBN: 9048144078
Hardcover
Softcover reprint of hardcover 1st ed. 1996 Kartoniert / Broschiert Bildgebende Verfahren, Wahrscheinlichkeitsrechnung und Statistik, Stochastik, Physik, Künstliche Intelligenz, Estimat… More...
2010, ISBN: 9048144078
Hardcover
Softcover reprint of hardcover 1st ed. 1996 Kartoniert / Broschiert Bildgebende Verfahren, Wahrscheinlichkeitsrechnung und Statistik, Künstliche Intelligenz, Estimator; algorithms; Baye… More...
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Details of the book - Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A. 1993 (Fundamental Theories of Physics) (Fundamental Theories of Physics, 62, Band 62)
EAN (ISBN-13): 9789048144075
ISBN (ISBN-10): 9048144078
Hardcover
Paperback
Publishing year: 2010
Publisher: Heidbreder, Glenn R. Springer
428 Pages
Weight: 0,643 kg
Language: eng/Englisch
Book in our database since 2011-06-07T22:07:18-04:00 (New York)
Detail page last modified on 2023-06-12T04:16:34-04:00 (New York)
ISBN/EAN: 9789048144075
ISBN - alternate spelling:
90-481-4407-8, 978-90-481-4407-5
Alternate spelling and related search-keywords:
Book title: method maximum entropy, barbara, 1993, california santa way, that you santa, maximum entropy and bayesian methods
Information from Publisher
Author: Glenn R. Heidbreder
Title: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
Publisher: Springer; Springer Netherland
414 Pages
Publishing year: 2010-12-05
Dordrecht; NL
Printed / Made in
Language: English
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
X, 414 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; algorithms; bayesian methods; classification; clustering; communication; genetic algorithms; microelectromechanical system (MEMS); Probability Theory; Physics and Astronomy; Statistics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Radiology; Artificial Intelligence; Stochastik; Mathematik und Naturwissenschaften; Bildgebende Verfahren; Künstliche Intelligenz; BB; EA
Tutorial.- An Introduction to Model Selection Using Probability Theory as Logic.- Bayesian Hyperparameters.- Hyperparameters: Optimize, or Integrate Out?.- What Bayes has to Say about the Evidence Procedure.- Reconciling Bayesian and Non-Bayesian Analysis.- Bayesian Robustness.- Bayesian Robustness: A New Look from Geometry.- Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity.- Clustering.- Tree-Structured Clustering via the Minimum Cross Entropy Principle.- Inverse Problems.- A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems.- Maximum Entropy Signal Transmission.- Quantum Probability Theory.- Maximum Quantum Entropy for Classical Density Functions.- Smoothing in Maximum Quantum Entropy.- Density Estimation by Maximum Quantum Entropy.- Philosophy.- Belief and Desire.- Computational Issues.- A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions.- A Mathematica™ Package for Symbolic Bayesian Calculations.- A Multicriterion Evaluation of the Memsys5 Program for PET.- Parallel Maximum Entropy Reconstruction of PET Images.- Applications.- Bayesian Non-Linear Modeling for the Prediction Competition.- Bayesian Modeling and Classification of Neural Signals.- Estimators for the Cauchy Distribution.- Probability Theory and Multiexponential Signals: How Accurately Can the Parameters be Determined?.- Pixon-Based Image Reconstruction.- Super-Resolved Surface Reconstruction from Multiple Images.- Bayesian Analysis of Linear Phased-Array Radar.- Neural Network Image Deconvolution.- Bayesian Resolution of Closely Spaced Objects.- Ultrasonic Image Improvement through the Use of Bayesian Priors Which are Based on Adjacent Scanned Traces.- Application of Maxent to Inverse Photoemission Spectroscopy.- An EntropyEstimator Algorithm and Telecommunications Applications.- A Common Bayesian Approach to Multiuser Detection and Channel Equalization.- Thermostatics in Financial Economics.- Lessons from the New Evidence Scholarship.- How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule.More/other books that might be very similar to this book
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