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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 Massive Inference and Maximum Entropy
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    Chapter 2 CV-NP Bayesianism by MCMC
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    Chapter 3 Which Algorithms are Feasible? Maxent Approach
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    Chapter 4 Maximum Entropy, Likelihood and Uncertainty: A Comparison
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    Chapter 5 Probabilistic Methods for Data Fusion
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    Chapter 6 Whence the Laws of Probability?
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    Chapter 7 Bayesian Group Analysis
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    Chapter 8 Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing
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    Chapter 9 Probability Synthesis
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    Chapter 10 Inversion Based on Computational Simulations
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    Chapter 11 Model Comparison with Energy Confinement Data from Large Fusion Experiments
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    Chapter 12 Deconvolution Based on Experimentally Determined Apparatus Functions
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    Chapter 13 A Bayesian Approach for the Determination of the Charge Density from Elastic Electron Scattering Data
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    Chapter 14 Integrated Deformable Boundary Finding Using Bayesian Strategies
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    Chapter 15 Shape Reconstruction in X-Ray Tomography from a Small Number of Projections Using Deformable Models
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    Chapter 16 An Empirical Model of Brain Shape
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    Chapter 17 Difficulties Applying Recent Blind Source Separation Techniques to EEG and MEG
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    Chapter 18 The History of Probability Theory
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    Chapter 19 We must Choose the Simplest Physical Theory: Levin-Li-Vitányi Theorem and its Potential Physical Applications
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    Chapter 20 Maximum Entropy and Acausal Processes: Astrophysical Applications and Challenges
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    Chapter 21 Computational Exploration of the Entropic Prior Over Spaces of Low Dimensionality
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    Chapter 22 Environmentally-Oriented Processing of Multi-Spectral Satellite Images: New Challenges for Bayesian Methods
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    Chapter 23 Maximum Entropy Approach to Optimal Sensor Placement for Aerospace Non-Destructive Testing
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    Chapter 24 Maximum Entropy Under Uncertainty
Attention for Chapter 18: The History of Probability Theory
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Citations

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Chapter title
The History of Probability Theory
Chapter number 18
Book title
Maximum Entropy and Bayesian Methods
Published by
Springer, Dordrecht, January 1998
DOI 10.1007/978-94-011-5028-6_18
Book ISBNs
978-9-40-106111-7, 978-9-40-115028-6
Authors

Anthony J. M. Garrett, Garrett, Anthony J. M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 20%
Student > Bachelor 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 20%
Arts and Humanities 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Computer Science 1 20%
Engineering 1 20%
Other 0 0%