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Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

AIP Conference Proceedings (American Institute of Physics) Available online

AIP Conference Proceedings (American Institute of Physics)
Format:
Book
Conference/Event
Author/Creator:
Fischer, Rainer, Author.
Contributor:
Jaynes' Foundation.
Udo von Toussaint, Max-Planck-Institut fur Plasmaphysik, Contributor.
Preuss, Roland, Contributor.
Conference Name:
International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, contributor.
Series:
AIP conference proceedings ; Volume 735.
AIP conference proceedings ; Volume 735
Language:
English
Subjects (All):
Bayesian statistical decision theory--Congresses.
Bayesian statistical decision theory.
Physical Description:
1 online resource (xviii, 605 pages).
Other Title:
Bayesian Inference And Maximum Entropy Methods In Science And Engineering: 24Th International Workshop On Bayesian Inference And Maximum Entropy Methods In Science And Engineering, Volume 735
Place of Publication:
[Place of publication not identified] A I P Press Imprint 2004
Language Note:
English
Summary:
Annotation All papers were peer reviewed. Bayesian Inference and Maximum Entropy Methods in Science and Engineering provide a framework for analyzing ill-conditioned data. Maximum Entropy is a theoretical method to draw conclusions when little information is available. Bayesian probability theory provides a formalism for scientific reasoning by analyzing noisy or imcomplete data using prior knowledge.
Contents:
The E.T. Jaynes Lecture
Characterizing Water Diffusion in Fixed Baboon Brain / G.L. Bretthorst, C.D. Kroenke, J.J. Neil
Applications
Bayesian Wavelet Domain Segmentation / P. Brault, A. Mohammad-Djafari
Multigrid Priors for fMRI Time Series Analysis / N. Caticha, S. da Rocha Amaral, S.R. Rabbani
Model Fitting and Model Evidence for Multiscale Image Texture Analysis / M. Datcu, D.A. Stoichescu, K. Seidel, C. Iorga
Integrated Approaches in Fusion Data Analysis / A. Dinklage, R. Fischer, H. Dreier, J. Svensson, Y. Turkin
Bayesian Data Analysis for ERDA Measurements / E. Edelmann, K. Arstila, J. Keinonen
Relative Entropy Credibility Theory / J.-J. Fernandez-Duran, M.M. Gregorio-Dominguez
Reconstruction of Piecewise Homogeneous Images from Partial Knowledge of their Fourier Transform / O. Feron, Z. Chama, A.
Mohammad-Djafari
Bayesian Experimental Design-Studies for Fusion Diagnostics / R. Fischer
Bayesian Estimation Methods in Metrology / M.G. Cox, A.B. Forbes, P.M. Harris
Measuring Questions: Relevance and Its Relation to Entropy / K.H. Knuth
Noninformative Priors for Prediction Based on Group Models / F. Komaki
On the Estimation of a Parameter with Incomplete Knowledge on a Nuisance Parameter / A. Mohammad-Djafari, A. Mohammadpour
Bayesian Segmentation of Hyperspectral Images / A. Mohammadpour, O. Feron, A. Mohammad-Djafari
Parameter Estimation of the Weibull Probability Distribution / W.-K. Pang
The Volume of Bitnets / C.C. Rodriguez
Exchangeability and de Finetti's Theorem: From Probabilities to Quantum-Mechanical States / R. Schack
A Linear Vector Model Selection Criterion Based on Kullback's-Leibler Divergence / A.-K. Seghouane
Uninformative Reference Sensitivity in Possibilistic Sharp Hypotheses Tests / J.M. Stern
Entropy Minima and Distribution Structural Modifications in Blind Separation of Multimodal Sources / F. Vrins, C. Archambeau, M. Verleysen.
Notes:
Bibliographic Level Mode of Issuance: Monograph
ISBN:
0-7354-0217-5

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