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In Memory of Edwin T. Jaynes | ||
Preface | ||
Massive Inference and Maximum Entropy | 1 | |
CV-NP Bayesianism by MCMC | 15 | |
Which Algorithms are Feasible? A Maxent Approach | 25 | |
Maximum Entropy, Likelihood and Uncertainty: A Comparison | 35 | |
Probabilistic Methods for Data Fusion | 57 | |
Whence the Laws of Probability? | 71 | |
Bayesian Group Analysis | 87 | |
Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing | 101 | |
Probability Synthesis, how to Express Probabilities in Terms of each other | 115 | |
Inversion Based on Computational Simulations | 121 | |
Model Comparison with Energy Confinement Data from Large Fusion Experiments | 137 | |
Deconvolution Based on Experimentally Determined Apparatus Functions | 147 | |
A Bayesian Approach for the Determination of the Charge Density from Elastic Electron Scattering Data | 153 | |
Integrated Deformable Boundary Finding using Bayesian Strategies | 171 | |
Shape Reconstruction in X-Ray Tomography from a Small Number of Projections using Deformable Models | 183 | |
An Empirical Model of Brain Shape | 199 | |
Difficulties Applying Blind Source Separation Techniques to EEG and MEG | 209 | |
The History of Probability Theory | 223 | |
We must Choose the Simplest Physical Theory: Levin-Li-Vitanyi Theorem and its Potential Physical Applications | 239 | |
Maximum Entropy and Acausal Processes: Astrophysical Applications and Challenges | 253 | |
Computational Exploration of the Entropic Prior over Spaces of Low Dimensionality | 263 | |
Environmentally-Oriented Processing of Multi-Spectral Satellite Images: New Challenges for Bayesian Methods | 271 | |
Maximum Entropy Approach to Optimal Sensor Placement for Aerospace Non-Destructive Testing | 277 | |
Maximum Entropy under Uncertainty | 291 | |
Subject Index | 296 |
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