Maximum Entropy and Bayesian Methods

Reconstruction of the Probability Density Function Implicit in Option Prices from Incomplete and Noisy Data.- Model Selection and Parameter Estimation for Exponential Signals.- Hierarchical Bayesian Time-Series Models.- Bayesian time Series: Models and Computations for the Analysis of time Series in the Physical Sciences.- Maxent, Mathematics, and Information Theory.- Bayesian Estimation of the von Mises Concentration Parameter.- A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks.- The Bootstrap is Inconsistent with Probability Theory.- Data-Driven Priors for Hyperparameters in Regularization.- Mixture Modeling to Incorporate Meaningful Constraints Into Learning.- Maximum Entropy (Maxent) Method in Expert Systems and Intelligent Control: new Possibilities and Limitations.- The De Finetti Transform.- Continuum Models for Bayesian Image Matching.- Mechanical Models as Priors in Bayesian Tomographic Recontruction.- The Bayes Inference Engine.- A Full Bayesian Approach for Inverse Problem.- Pixon-Based Multiresolution Image Reconstruction and Quantification of Image Information Content.- Bayesian Multimodal Evidence Computation by Adaptive Tempering Mcmc.- Bayesian Inference and the Analytic Continuation of Imaginary-Time Quantum Monte Carlo Data.- Spectral Properties from Quantum Monte Carlo Data: a Consistent Approach.- An Application of Maximum Entropy Method to Dynamical Correlation Functions at Zero Temperature.- Chebyshev Moment Problems: Maximum Entropy and Kernel Polynomial Methods.- Cluster Expansions and Iterative Scaling for Maximum- Entropy Language Models.- A Maxent Tomography Method for Estimating fish Densities in a Commercial Fishery.- Toward Optimal Observer Performance of Detection and Discrimination Tasks on Reconstructions from Sparse Data.- Entropies for Dissipative Fluids and Magnetofluids Without Discretization.- On the Importance of a Marginalization in Maximum Entropy.- Quantum Mechanics as an Exotic Probability Theory.- Bayesian Parameter Estimation of Nuclear-Fusion Confinement time Scaling Laws.- Hierarchical Segmentation of Range and Color Images Based on Bayesian Decision Theory.- Priors on Measures.- Determining Whether two Data Sets are from the Same Distribution.- Occam’s Razor for Parametric Families and Priors on the Space of Distributions.- Skin and Maximum Entropy: a Hidden Complicity?.- Predicting the Accuracy of Bayes Classifiers.- Maximum Entropy Analysis of Genetic Algorithms.- Data Fusion in the field of non Destructive Testing.- Dual Statistical Mechanical Theory for Unsupervised and Supervised Learning.- Complex Sinusoid Analysis by Bayesian Deconvolution of the Discrete Fourier Transform.- Statistical Mechanics of Choice.- Rational Neural Models Based on Information Theory.- A new Entropy Measure with the Explicit Notion of Complexity.- Maximum Entropy States and Coherent Structures in Magnetohydrodynamics.- A Lognormal State of Knowledge.- Pixon-Based Multiresolution Image Reconstruction for Yohkoh’S Hard X-Ray Telescope.- Bayesian Methods for Interpreting Plutonium Urinalysis Data.- The Information Content of Sonar Echoes.- Objective Prior for Cosmological Parameters.- Meal Estimation: Acceptable-Likelihood Extensions of Maxent.- On Curve Fitting with Two-Dimensional Uncertainties.- Bayesian Inference in Search for the in Vivo T2 Decay-Rate Distribution in Human Brain.- Bayesian Comparison of fit Parameters: Application to Time-Resolved X-Ray Spectroscopy.- Edge Entropy and Visual Complexity.- Maximum Entropy Tomography.- BayesianRegularization of Some Seismic Operators.- Multimodality Bayesian Algorithm for Image Reconstruction in Positron Emission Tomography.- Evidence Integrals.