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Maximum Entropy and Bayesian Methods

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Cover of 'Maximum Entropy and Bayesian Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Clearing up Mysteries — The Original Goal
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    Chapter 2 From Rationality and Consistency to Bayesian Probability
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    Chapter 3 Classic Maximum Entropy
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    Chapter 4 Developments in Maximum Entropy Data Analysis
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    Chapter 5 The Three Phases of Statistical Mechanics
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    Chapter 6 Bell’s Theorem. Inference and Quantum Transactions
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    Chapter 7 Probability, Philosophy and Science: A briefing for Bayesians
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    Chapter 8 The Statistics of Quantum Mechanical Wavefunctions
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    Chapter 9 Justification of the Maximum Entropy Criterion in Quantum Mechanics
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    Chapter 10 Approaches to Non-Equilibrium Statistical Mechanics
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    Chapter 11 Applications of Maximum Entropy to Condensed Matter Physics
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    Chapter 12 Problems of Maximum-Entropy Formalism in the Statistical Geometry of Simple Liquids
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    Chapter 13 Liquid Structure Factor Determination by Neutron Scattering — Some Dangers of Maximum Entropy
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    Chapter 14 Quasielastic Neutron Scattering Data Evaluation Using the Maximum Entropy Method
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    Chapter 15 Maximum Entropy Reconstruction in Magnetic Resonance Imaging
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    Chapter 16 Solution of Autocorrelation Function Constrained Maximum Entropy Problems Using the Method of Simulated Annealing
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    Chapter 17 Solution of Laplace Transform Equations (Sum of Exponentials) by Maximum Entropy
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    Chapter 18 Maximum Entropy and Bayesian Approach in Tomographic Image Reconstruction and Restoration
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    Chapter 19 Maximum-Entropy-Based Approaches to X-ray Structure Determination and Data Processing
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    Chapter 20 Maximum Entropy in Crystallography
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    Chapter 21 A Multisolution Phase Determination Method in X-Ray Crystallography
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    Chapter 22 The Challenge of X-RAY and Neutron Powder Diffraction
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    Chapter 23 A Statistical Potential for Modelling X-ray Electron Density Maps with Known Phases
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    Chapter 24 Enhanced Information Recovery From Spectroscopic Data Using MaxEnt
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    Chapter 25 Bayesian Spectrum Analysis on Quadrature Nmr Data with Noise Correlations
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    Chapter 26 Selective Data-Sampling and Reconstruction of Phase Sensitive 2D NMR Spectra Using Maximum Entropy
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    Chapter 27 A New Maximum Entropy Processing Algorithm, with Applications to Nuclear Magnetic Resonance Experiments
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    Chapter 28 Sampling Strategies for Magnetic Resonance Experiments
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    Chapter 29 The Inverse Problem for Nuclear Magnetic Resonance
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    Chapter 30 Maximum Entropy Calculations on a Discrete Probability Space: Predictions Confirmed
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    Chapter 31 Application of Classical, Bayesian and Maximum Entropy Spectrum Analysis to Nonstationary Time Series Data
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    Chapter 32 Identifying Discrete Cycles in Economic Data: Maximum Entropy Spectra and the Direct Fitting of Sinusoidal Functions
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    Chapter 33 Maximum Entropy Spectral Analysis of Hilbert Transformed Complex Data
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    Chapter 34 Maximum Entropy Tomography of Accretion Discs from Their Emission Lines
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    Chapter 35 Distances to Clusters of Galaxies Using Maximum Entropy
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    Chapter 36 The Application of Maximum Entropy Techniques to Chopped Astronomical Infrared Data
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    Chapter 37 The Use of Bayesian and Entropic Methods in Neural Network Theory
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    Chapter 38 Electronic ‘Neural’ Nets for Solving Ill-Posed Problems with an Entropy Regulariser
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    Chapter 39 Bayesian Model Selection: Examples Relevant to NMR
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    Chapter 40 Regularization and Inverse Problems
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    Chapter 41 Maximum Entropy and Inductive Inference
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    Chapter 42 Maximum Specific Entropy, Knowledge, Ordering, and Physical Measurements
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    Chapter 43 The Metrics Induced by the Kullback Number
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    Chapter 44 The Paradox of the Money Pump: A Resolution
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    Chapter 45 Constrained Maximum Entropy Methods in an Image Reconstruction Problem
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    Chapter 46 Entropy + Rain = Floods
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    Chapter 47 Maximum Entropy and Constrained Optimization
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    Chapter 48 The Eigenvalues of Mega-dimensional Matrices
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    Chapter 49 Bayesian Evaluation of Discrepant Experimental Data
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    Chapter 50 Superresolution limit for Signal recovery
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    Chapter 51 A Monotonic Property of Distributions Based on Entropy with Fractile Constraints
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    Chapter 52 Kinetic Theory and Ensembles of Maximum Entropy
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    Chapter 53 On the Use of Quadratic Regularisation within Maximum Entropy Image Restoration
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    Chapter 54 From Chirp to Chip, a Beginning
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    Chapter 55 Bayesian Data Analysis: Straight-line fitting
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Title
Maximum Entropy and Bayesian Methods
Published by
Springer Netherlands, June 2013
DOI 10.1007/978-94-015-7860-8
ISBNs
978-9-04-814044-2, 978-9-40-157860-8
Editors

Skilling, J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Ph. D. Student 2 11%
Other 1 5%
Unknown 11 58%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 16%
Physics and Astronomy 2 11%
Computer Science 1 5%
Chemistry 1 5%
Engineering 1 5%
Other 0 0%
Unknown 11 58%