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Maximum Entropy and Bayesian Methods
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Table of Contents

The Gibbs Paradox.- Bayesian Solution of Ordinary Differential Equations.- Bayesian Interpolation.- Estimating the Ratio of Two Amplitudes in Nuclear Magnetic Resonance Data.- A Bayesian Method for the Detection of a Periodic Signal of Unknown Shape and Period.- Linking the Plausible and Demonstrative Inferences.- Dimensional Analysis in Data Modeling.- Entropies of Likelihood Functions.- Maximum Likelihood Estimation of the Lagrange Parameters of the Maximum Entropy Distributions.- Entropy of Form and Hierarchic Organization.- A Bayesian Looks at the Anthropic Principle.- The Evidence for Neutral Networks.- Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy Regularization.- Bayesian Mixture Modeling.- Point-Process Theory and the Surveillance of Many Objects.- A Matlab Program to Calculate the Maximum Entropy Distributions.- Memsys as Debugger.- Entropy and Sunspots: Their Bearing on Time-Series.- Basic Concepts in Multisensor Data Fusion.- Combining Data from Different Experiments: Bayesian Analysis and Meta-Analysis.- Modelling Drug Behaviour in the Body with Maxent.- Information Entropy and Dose-Response Functions for Risk Analysis.- Making Binary Decisions Based on the Posterior Probability Distribution Associated with Tomographic Reconstructions.- The Application of Maxent to Electrospray Mass Spectrometry.- The Application of Maxent to Electron Microscopy.- The Inference of Physical Phenomena in Chemistry: Abstract Tomography, Gedanken Experiments, and Surprisal Analysis.- The Maximum Entropy Reconstruction of Patterson and Fourier Densities in Orientationally Disordered Molecular Crystals: A Systematic Test for Crystallographic Interpolation Models.- On a Bayesian Approach to Coherent Radar Imaging.- Application of Maximum Entropy to Radio Imagingof Geological Features.- Deterministic Signals in Height of Sea Level Worldwide.- The Grand Canonical Sampler for Bayesian Integration.- Recent Developments in Information-Theoretic Statistical Analysis.- Murphy’s Law and Noninformative Priors.- A Scientific Concept of Probability.- Bayesian Logic and Statistical Mechanics — Illustrated by a Quantum Spin 1/2 Ensemble.

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