maximum entropy bayesian methods de skilling john (33 resultados)

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Taschenbuch. Condición: Neu. Maximum Entropy and Bayesian Methods | Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods | John Skilling (u. a.) | Taschenbuch | Fundamental Theories of Physics | xi | Englisch | 2011 | Springer | EAN 9789401065344 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: New. pp. 340.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Cambridge, England, 1988.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Tutorial.- Clearing up Mysteries - The Original Goal.- From Rationality and Consistency to Bayesian Probability.- Classic Maximum Entropy.- Developments in Maximum Entropy Data Analysis.- The Three Phases of Statistical Mechanics.- Bell's Theorem. Inference and Quantum Transactions.- Philosophy.- Probability, Philosophy and Science: A briefing for Bayesians.- Statistical thermodynamics & Quantum mechanics.- The Statistics of Quantum Mechanical Wavefunctions.- Justification of the Maximum Entropy Criterion in Quantum Mechanics.- Approaches to Non-Equilibrium Statistical Mechanics.- Applications of Maximum Entropy to Condensed Matter Physics.- Problems of Maximum-Entropy Formalism in the Statistical Geometry of Simple Liquids.- Physical measurement techniques.- Liquid Structure Factor Determination by Neutron Scattering - Some Dangers of Maximum Entropy.- Quasielastic Neutron Scattering Data Evaluation Using the Maximum Entropy Method.- Maximum Entropy Reconstruction in Magnetic Resonance Imaging.- Solution of Autocorrelation Function Constrained Maximum Entropy Problems Using the Method of Simulated Annealing.- Solution of Laplace Transform Equations (Sum of Exponentials) by Maximum Entropy.- Maximum Entropy and Bayesian Approach in Tomographic Image Reconstruction and Restoration.- Crystallography.- Maximum-Entropy-Based Approaches to X-ray Structure Determination and Data Processing.- Maximum Entropy in Crystallography.- A Multisolution Phase Determination Method in X-Ray Crystallography.- The Challenge of X-RAY and Neutron Powder Diffraction.- A Statistical Potential for Modelling X-ray Electron Density Maps with Known Phases.- Chemical Spectroscopy.- Enhanced Information Recovery From Spectroscopic Data Using MaxEnt.- Bayesian Spectrum Analysis on QuadratureNmr Data with Noise Correlations.- Selective Data-Sampling and Reconstruction of Phase Sensitive 2D NMR Spectra Using Maximum Entropy.- A New Maximum Entropy Processing Algorithm, with Applications to Nuclear Magnetic Resonance Experiments.- Sampling Strategies for Magnetic Resonance Experiments.- The Inverse Problem for Nuclear Magnetic Resonance.- Time series, Power spectra.- Maximum Entropy Calculations on a Discrete Probability Space: Predictions Confirmed.- Application of Classical, Bayesian and Maximum Entropy Spectrum Analysis to Nonstationary Time Series Data.- Identifying Discrete Cycles in Economic Data: Maximum Entropy Spectra and the Direct Fitting of Sinusoidal Functions.- Maximum Entropy Spectral Analysis of Hilbert Transformed Complex Data.- Astronomical techniques.- Maximum Entropy Tomography of Accretion Discs from Their Emission Lines.- Distances to Clusters of Galaxies Using Maximum Entropy.- The Application of Maximum Entropy Techniques to Chopped Astronomical Infrared Data.- Neural networks.- The Use of Bayesian and Entropic Methods in Neural Network Theory.- Electronic 'Neural' Nets for Solving Ill-Posed Problems with an Entropy Regulariser.- Fundamentals, Statistics.- Bayesian Model Selection: Examples Relevant to NMR.- Regularization and Inverse Problems.- Maximum Entropy and Inductive Inference.- Maximum Specific Entropy, Knowledge, Ordering, and Physical Measurements.- The Metrics Induced by the Kullback Number.- The Paradox of the Money Pump: A Resolution.- Constrained Maximum Entropy Methods in an Image Reconstruction Problem.- Entropy + Rain = Floods.- Maximum Entropy and Constrained Optimization.- The Eigenvalues of Mega-dimensional Matrices.- Bayesian Evaluation of Discrepant Experimental Data.- Superresolution limit for Signalrecovery.- A Monotonic Property of Distributions Based on Entropy with Fractile Constraints.- Kinetic Theory and Ensembles of Maximum Entropy.- On the Use of Quadratic Regularisation within Maximum Entropy Image Restoration.- From Chirp to Chip, a Beginning.- Bayesian Data Analysis: Straight-line fitting.

Paperback. Condición: Brand New. 548 pages. 9.25x6.10x1.23 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware - Tutorial.- Clearing up Mysteries - The Original Goal.- From Rationality and Consistency to Bayesian Probability.- Classic Maximum Entropy.- Developments in Maximum Entropy Data Analysis.- The Three Phases of Statistical Mechanics.- Bell's Theorem. Inference and Quantum Transactions.- Philosophy.- Probability, Philosophy and Science: A briefing for Bayesians.- Statistical thermodynamics & Quantum mechanics.- The Statistics of Quantum Mechanical Wavefunctions.- Justification of the Maximum Entropy Criterion in Quantum Mechanics.- Approaches to Non-Equilibrium Statistical Mechanics.- Applications of Maximum Entropy to Condensed Matter Physics.- Problems of Maximum-Entropy Formalism in the Statistical Geometry of Simple Liquids.- Physical measurement techniques.- Liquid Structure Factor Determination by Neutron Scattering - Some Dangers of Maximum Entropy.- Quasielastic Neutron Scattering Data Evaluation Using the Maximum Entropy Method.- Maximum Entropy Reconstruction in Magnetic Resonance Imaging.- Solution of Autocorrelation Function Constrained Maximum Entropy Problems Using the Method of Simulated Annealing.- Solution of Laplace Transform Equations (Sum of Exponentials) by Maximum Entropy.- Maximum Entropy and Bayesian Approach in Tomographic Image Reconstruction and Restoration.- Crystallography.- Maximum-Entropy-Based Approaches to X-ray Structure Determination and Data Processing.- Maximum Entropy in Crystallography.- A Multisolution Phase Determination Method in X-Ray Crystallography.- The Challenge of X-RAY and Neutron Powder Diffraction.- A Statistical Potential for Modelling X-ray Electron Density Maps with Known Phases.- Chemical Spectroscopy.- Enhanced Information Recovery From Spectroscopic Data Using MaxEnt.- Bayesian Spectrum Analysis on QuadratureNmr Data with Noise Correlations.- Selective Data-Sampling and Reconstruction of Phase Sensitive 2D NMR Spectra Using Maximum Entropy.- A New Maximum Entropy Processing Algorithm, with Applications to Nuclear Magnetic Resonance Experiments.- Sampling Strategies for Magnetic Resonance Experiments.- The Inverse Problem for Nuclear Magnetic Resonance.- Time series, Power spectra.- Maximum Entropy Calculations on a Discrete Probability Space: Predictions Confirmed.- Application of Classical, Bayesian and Maximum Entropy Spectrum Analysis to Nonstationary Time Series Data.- Identifying Discrete Cycles in Economic Data: Maximum Entropy Spectra and the Direct Fitting of Sinusoidal Functions.- Maximum Entropy Spectral Analysis of Hilbert Transformed Complex Data.- Astronomical techniques.- Maximum Entropy Tomography of Accretion Discs from Their Emission Lines.- Distances to Clusters of Galaxies Using Maximum Entropy.- The Application of Maximum Entropy Techniques to Chopped Astronomical Infrared Data.- Neural networks.- The Use of Bayesian and Entropic Methods in Neural Network Theory.- Electronic 'Neural' Nets for Solving Ill-Posed Problems with an Entropy Regulariser.- Fundamentals, Statistics.- Bayesian Model Selection: Examples Relevant to NMR.- Regularization and Inverse Problems.- Maximum Entropy and Inductive Inference.- Maximum Specific Entropy, Knowledge, Ordering, and Physical Measurements.- The Metrics Induced by the Kullback Number.- The Paradox of the Money Pump: A Resolution.- Constrained Maximum Entropy Methods in an Image Reconstruction Problem.- Entropy + Rain = Floods.- Maximum Entropy and Constrained Optimization.- The Eigenvalues of Mega-dimensional Matrices.- Bayesian Evaluation of Discrepant Experimental Data.- Superresolution limit for Signalrecovery.- A Monotonic Property of Distributions Based on Entropy with Fractile Constraints.- Kinetic Theory and Ensembles of Maximum Entropy.- On the Use of Quadratic Regularisation within Maximum Entropy Image Restoration.- From Chirp to Chip, a Beginning.- Bayesian Data Analysis: Straight-line fitting.

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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994 This volume records papers given at the fourteenth international maximum entropy conference, held at St John s College Cambridge, Eng.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994 This volume records papers given at the fourteenth international maximum entropy conference, held at St John s College Cambridge, Eng.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice. 340 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice. 340 pp. Englisch.

Buch. Condición: Neu. Maximum Entropy and Bayesian Methods | Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods | John Skilling (u. a.) | Buch | Fundamental Theories of Physics | xi | Englisch | 1996 | Springer | EAN 9780792334521 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.

Condición: New. Print on Demand pp. 340.

Condición: New. PRINT ON DEMAND pp. 340.