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Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters
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Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters - nieuw boek

ISBN: 9780792328513

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an in… Meer...

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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - nieuw boek

ISBN: 9780792328513

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an … Meer...

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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - Heidbreder, Glenn R.
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Heidbreder, Glenn R.:
Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek

1996

ISBN: 0792328515

[EAN: 9780792328513], Neubuch, [PU: Springer Netherlands], INTELLIGENZ KüNSTLICHE KI - AI RADIOLOGIE STRAHLEN STATISTIK WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE ESTIMATOR ALGORITH… Meer...

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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek

1996, ISBN: 0792328515

[EAN: 9780792328513], Gebraucht, wie neu, [PU: Springer], Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less, Books

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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - Glenn R. Heidbreder
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Glenn R. Heidbreder:
Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek

1996, ISBN: 9780792328513

Buch, Hardcover, 1996 ed. [PU: Springer], Springer, 1996

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Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference.

Gedetalleerde informatie over het boek. - Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters


EAN (ISBN-13): 9780792328513
ISBN (ISBN-10): 0792328515
Gebonden uitgave
Verschijningsjaar: 1996
Uitgever: Glenn R. Heidbreder
428 Bladzijden
Gewicht: 0,801 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-10-24T16:37:29+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2022-11-22T20:21:33+01:00 (Amsterdam)
ISBN/EAN: 9780792328513

ISBN - alternatieve schrijfwijzen:
0-7923-2851-5, 978-0-7923-2851-3
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: barbara, workshop 1993, proceedings international workshop, maximum entropy method, usa california, california santa way, that you santa, fundamental theories physics, maximum entropy and bayesian methods


Gegevens van de uitgever

Auteur: Glenn R. Heidbreder
Titel: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
Uitgeverij: Springer; Springer Netherland
414 Bladzijden
Verschijningsjaar: 1996-05-31
Dordrecht; NL
Gewicht: 1,710 kg
Taal: Engels
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
X, 414 p.

BB; Probability Theory and Stochastic Processes; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; algorithms; bayesian methods; classification; clustering; communication; genetic algorithms; microelectromechanical system (MEMS); Physics, general; Statistics, general; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Imaging / Radiology; Artificial Intelligence; 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; BC; EA

Preface. An Introduction to Model Selection Using Probability Theory as Logic; G.L. Bretthorst. Bayesian Hyperparameters. Hyperparameters: Optimize, or Integrate Out? D.J.C. MacKay. What Bayes has to Say About the Evidence Procedure; D.H. Wolpert, C.E.M. Strauss. Reconciling Bayesian and Non-Bayesian Analysis; D.H. Wolpert. Bayesian Robustness. Bayesian Robustness: A New Look from Geometry; C.C. Rodríguez. Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity; S. Basu, et al. Clustering. Tree-Structured Clustering via the Minimum Cross Entropy Principle; D. Miller, K. Rose. Inverse Problems. A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems; A. Mohammad-Djafari, J. Idier. Maximum Entropy Signal Transmission; E.A. Robinson. Quantum Probability Theory. Maximum Quantum Entropy for Classical Density Functions; T.C. Wallstrom. Smoothing in Maximum Quantum Entropy; T.C. Wallstrom. Density Estimation by Maximum Quantum Entropy; R.N. Silver, et al. Philosophy. Belief and Desire; A.J.M. Garrett. Computational Issues. A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions; N. Pendock. A MathematicaTM Package for Symbolic Bayesian Calculations; P. Desmedt, I. Lemahieu. A Multicriterion Evaluation of the MEMSYS5 Program for PET; P. Desmedt, et al. Parallel Maximum Entropy Reconstruction of PET Images; K. Bastiaens, et al. Applications. Bayesian Non- Linear Modeling for the Prediction Competition; D.J.C. MacKay. Bayesian Modeling and Classification of Neural Signals; M.S. Lewicki. Estimators for the Cauchy Distribution; K.M. Hanson,D.R. Wolf. Probability Theory and Multiexponential Signals: How Accurately can the Parameters be Determined; A. Ramaswami, G.L. Bretthorst. Pixon-Based Image Reconstruction; R.C. Puetter, R.K. Piña. Super-Resolved Surface Reconstruction from Multiple Images; P. Cheeseman, et al. Bayesian Analysis of Linear Phased-Array Radar; A.G. Green, D.J.C. MacKay. Neural Network Image Deconvolution; J.E. Tansley, et al. Bayesian Resolution of Closely Spaced Objects; N.W. Schulenburg. Ultrasonic Image Improvement through the Use of Bayesian Priors which are Based on Adjacent Scanned Traces; L. Roemer, J. Zhang. Application of Maxent to Inverse Photoemission Spectroscopy; W. von der Linden, et al. An Entropy Estimator Algorithm and Telecommunications Applications; N.T. Plotkin, A.J. Wyner. A Common Bayesian Approach to Multiuser Detection and Channel Equalization; L. Mailaender, R.A. Iltis. Thermostatics in Financial Economics; M.J. Stutzer. Lessons from the New Evidence Scholarship; G.A. Vignaux, B. Robertson. How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule; D.B. Rosen. Index.
Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods

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