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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 The Gibbs Paradox
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    Chapter 2 Bayesian Solution of Ordinary Differential Equations
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    Chapter 3 Bayesian Interpolation
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    Chapter 4 Estimating the Ratio of Two Amplitudes in Nuclear Magnetic Resonance Data
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    Chapter 5 A Bayesian Method for the Detection of a Periodic Signal of Unknown Shape and Period
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    Chapter 6 Linking the Plausible and Demonstrative Inferences
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    Chapter 7 Dimensional Analysis in Data Modelling
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    Chapter 8 Entropies of Likelihood Functions
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    Chapter 9 Maximum Likelihood Estimation of the Lagrange Parameters of the Maximum Entropy Distributions
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    Chapter 10 Entropy of Form and Hierarchic Organization
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    Chapter 11 A Bayesian Looks at the Anthropic Principle
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    Chapter 12 The Evidence for Neural Networks
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    Chapter 13 Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy Regularization
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    Chapter 14 Bayesian Mixture Modeling
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    Chapter 15 Point-Process Theory and the Surveillance of Many Objects
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    Chapter 16 A Matlab Program to Calculate the Maximum Entropy Distributions
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    Chapter 17 Memsys as Debugger
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    Chapter 18 Entropy and Sunspots: Their Bearing on Time-Series
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    Chapter 19 Basic Concepts in Multisensor Data Fusion
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    Chapter 20 Combining Data from Different Experiments: Bayesian Analysis and Meta-Analysis
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    Chapter 21 Modelling Drug Behaviour in the Body with Maxent
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    Chapter 22 Information Entropy and Dose-Response Functions for Risk Analysis
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    Chapter 23 Making Binary Decisions Based on the Posterior Probability Distribution Associated with Tomographic Reconstructions
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    Chapter 24 The Application of Maxent to Electrospray Mass Spectrometry
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    Chapter 25 The Application of MaxEnt to Electron Microscopy
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    Chapter 26 The Inference of Physical Phenomena in Chemistry: Abstract Tomography, Gedanken Experiments, and Surprisal Analysis
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    Chapter 27 The Maximum Entropy Reconstruction of Patterson and Fourier Densities in Orientationally Disordered Molecular Crystals: A Systematic Test for Crystallographic Interpolation Models
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    Chapter 28 On a Bayesian Approach to Coherent Radar Imaging
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    Chapter 29 Application of Maximum Entropy to Radio Imaging of Geological Features
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    Chapter 30 Deterministic Signals in Height of Sea Level Worldwide
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    Chapter 31 The Grand Canonical Sampler for Bayesian Integration
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    Chapter 32 Recent Developments in Information-Theoretic Statistical Analysis
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    Chapter 33 Murphy’s Law and Noninformative Priors
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    Chapter 34 A Scientific Concept of Probability
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    Chapter 35 Bayesian Logic and Statistical Mechanics — Illustrated by a Quantum Spin 1/2 Ensemble
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Title
Maximum Entropy and Bayesian Methods
Published by
Springer Netherlands, June 2013
DOI 10.1007/978-94-017-2219-3
ISBNs
978-9-04-814220-0, 978-9-40-172219-3
Editors

Smith, C. Ray, Erickson, Gary J., Neudorfer, Paul O.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Bachelor 4 17%
Student > Master 4 17%
Researcher 3 13%
Professor 1 4%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Physics and Astronomy 6 25%
Engineering 6 25%
Chemistry 4 17%
Business, Management and Accounting 2 8%
Mathematics 1 4%
Other 0 0%
Unknown 5 21%