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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
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Title
Maximum Entropy and Bayesian Methods
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-5028-6
ISBNs
978-9-40-106111-7, 978-9-40-115028-6
Editors

Erickson, Gary J., Rychert, Joshua T., Smith, C. Ray

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 7%
Student > Ph. D. Student 1 7%
Unknown 12 86%
Readers by discipline Count As %
Engineering 1 7%
Unknown 13 93%

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