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Maximum-entropy and Bayesian spectral analysis and estimation problems : proceedings of the Third Workshop on Maximum Entropy and Bayesian Methods in Applied Statistics, Wyoming, U.S.A., August 1-4, 1983

Author: C Ray Smith; Gary J Erickson
Publisher: Dordrecht ; Boston : D. Reidel Pub. Co. ; Norwell, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, ©1987.
Series: Fundamental theories of physics.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
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Proceedings of the Third Workshop on Maximun Entropy and Bayesian Methods in Applied Statistics, Wyoming, USA, August 1-4, 1983

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Genre/Form: Conference papers and proceedings
Congresses
Congrès
Additional Physical Format: Online version:
Maximum Entropy Workshop (3rd : 1983 : Laramie, Wyo.).
Maximum-entropy and Bayesian spectral analysis and estimation problems.
Dordrecht ; Boston : D. Reidel Pub. Co. ; Norwell, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, ©1987
(OCoLC)654649147
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: C Ray Smith; Gary J Erickson
ISBN: 9027725799 9789027725790
OCLC Number: 16524221
Description: ix, 322 pages : illustrations ; 25 cm.
Contents: Bayesian Spectrum and Chirp Analysis.- On Entropy Rate.- State Spaces and Initial Estimates in Minimum Relative-Entropy Inversion with Application to Spectrum Analysis and Image Enhancement.- Relative-Entropy Minimization with Uncertain Constraints: Theory and Application to Spectrum Analysis.- A Proof of Burg's Theorem.- A Bayesian Approach to Robust Local Facet Estimation.- The Maximum Entropy Method: The Problem of Missing Data.- On the Accuracy of Spectrum Analysis of Red Noise Processes Using Maximum Entropy and Periodogram Methods: Simulation Studies and Application to Geophysical Data.- Recent Developments at Cambridge.- Prior Knowledge must be Used.- How the Brain Works: The Next Great Scientific Revolution.- Maximum Entropy in Structural Molecular Biology: The Fiber Diffraction Phase Problem.- A Method of Computing Maximum Entropy Probability Values for Expert Systems.- Special-Purpose Algorithms for Linearly Constrained Entropy Maximization.- Bayesian Approach to Limited-Angle Reconstruction in Computed Tomography.- Application of the Maximum Entropy Principle to Retrieval from Large Data Bases.- Two Recent Applications of Maximum Entropy.- A Variational Method for Classical Fluids.- Updating Inductive Inference.- Parallel Algorithms for Maximum Entropy Calculation.
Series Title: Fundamental theories of physics.
Responsibility: edited by C. Ray Smith and Gary J. Erickson.
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