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Maximum entropy and Bayesian methods : proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods : Cambridge, England, 1994

Author: J Skilling; Sibusiso Sibisi
Publisher: Dordrecht ; Boston : Kluwer Academic Publishers, ©1996.
Series: Fundamental theories of physics, v. 70.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
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Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994

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Genre/Form: Cambridge (1994)
Congresses
Additional Physical Format: Online version:
International Workshop on Maximum Entropy and Bayesian Methods (14th : 1994 : Cambridge, England).
Maximum entropy and Bayesian methods.
Dordrecht ; Boston : Kluwer Academic Publishers, ©1996
(OCoLC)698049662
Material Type: Conference publication
Document Type: Book
All Authors / Contributors: J Skilling; Sibusiso Sibisi
ISBN: 0792334523 9780792334521
OCLC Number: 34990181
Description: xi, 323 pages : illustrations (some color) ; 25 cm.
Contents: Preface. Applications. Flow and Diffusion Images from Bayesian Spectral Analysis of Motion-Encoded NRM Data; E.J. Fordham, et al. Bayesian Estimation of MR Images from Incomplete Raw Data; G.J. Marseille, et al. Quantified Maximum Entropy and Biological EPR Spectra; S.M. Glidewell, et al. The Vital Importance of Prior Information for the Decomposition of Ion Scattering Spectroscopy Data; R. Fischer, et al. Bayesian Consideration of the Tomography Problem; W. von der Linden. Using MaxEnt to Determine Nuclear Level Densities; N.J. Davidson, et al. A Fresh Look at Model Selection in Inverse Scattering; V.A. Macaulay, B. Buck. The Maximum Entropy Method in Small-Angle Scattering: S. Hansen, J.J. Muller. Maximum Entropy Multi-Resolution EM Tomography by Adaptive Subdivision; L.-H. Zou, et al. High Resolution Image Construction from IRAS Survey - Parallelization and Artifact Suppression; Y. Cao, T.A. Prince. Maximum Entropy Performance Analysis of Spread-Spectrum Multiple-Access Communications; F. Solms, et al. Noise Analysis in Optical Fibre Sensing: A Study Using the Maximum Entropy Method; L. Stergioulas, et al. Algorithms. AutoClass - A Bayesian Approach to Classification; J. Stutz, P. Cheeseman. Evolution Reviews of BayesCalc, a MATHEMATICA Package for Doing Bayesian Calculations; P. Desmedt, et al. Bayesian Inference for Basis Function Selection in Nonlinear System Identification Using Genetic Algorithms; V. Kadirkamanthan. Basics. The Meaning of the Word `Probability'; M. Tribus. The Hard Truth; K.M. Hanson, G.S. Cunningham. Are the Samples Doped - If So, How Much? A.J.M. Garrett. Confidence Intervals from One Observation; C. Rodriguez. Hypothesis Refinement;G.A. Vignaux, B. Robertson. Bayesian Density Estimation; S. Sibisi, J. Skilling. Scale-Invariant Markov Models for Bayesian Inversion of Linear Inverse Problems; S. Brette, et al. Foundations; Indifference, Independence and MaxEnt; M. Schramm, M. Greiner. The Maximum Entropy on the Mean Method, Noise and Sensitivity; J.-F. Bercher, et al. The Maximum Entropy Algorithm Applied to the Two-Dimensional Random Packing Problem; G.J. Daniell. Neural Networks. Bayesian Comparison of Models for Images; A.H. Barnett, D.J.C. MacKay. Interpolation models with Multiple Hyperparameters; D.J.C. MacKay, R. Takeuchi. Density Networks and Their Application to Protein Modelling; D.J.C. Mackay. The Cluster Expansion: A Hierarchical Density Model; S.P. Luttrell. The Partitioned Mixture Distribution: Multiple Overlapping Density Models; S.P. Luttrell. Physics. Generating Functional for the BBGKY Hierarchy and the N-Identical-Body Problem; S.F. Gull, A.J.M. Garrett. Entropies for Continua: Fluids and Magnetofluids; D. Montgomery, et al. A Logical Foundation for Real Thermodynamics; R.S. Silver. Index.
Series Title: Fundamental theories of physics, v. 70.
Responsibility: edited by John Skilling and Sibusiso Sibisi.

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