Table of Contents

Applications.- Flow and diffusion images from Bayesian spectral analysis of motion-encoded NMR data.- Bayesian estimation of MR images from incomplete raw data.- Quantified maximum entropy and biological EPR spectra.- The vital importance of prior information for the decomposition of ion scattering spectroscopy data.- Bayesian consideration of the tomography problem.- Using MaxEnt to determine nuclear level densities.- A fresh look at model selection in inverse scattering.- The maximum entropy method in small-angle scattering.- Maximum entropy multi-resolution EM tomography by adaptive subdivision.- High resolution image construction from IRAS survey — parallelization and artifact suppression.- Maximum entropy performance analysis of spread-spectrum multiple-access communications.- Noise analysis in optical fibre sensing: A study using the maximum entropy method.- Algorithms.- AutoClass — a Bayesian approach to classification.- Evolution reviews of BayesCalc, a MATHEMATICA package for doing Bayesian calculations.- Bayesian inference for basis function selection in nonlinear system identification using genetic algorithms.- The meaning of the word “Probability”.- The hard truth.- Are the samples doped — If so, how much?.- Confidence intervals from one observation.- Hypothesis refinement.- Bayesian density estimation.- Scale-invariant Markov models for Bayesian inversion of linear inverse problems.- Foundations: Indifference, independence and MaxEnt.- The maximum entropy on the mean method, noise and sensitivity.- The maximum entropy algorithm applied to the two-dimensional random packing problem.- Neural Networks.- Bayesian comparison of models for images.- Interpolation models with multiple hyperparameters.- Density networks and their application to proteinmodelling.- The cluster expansion: A hierarchical density model.- The partitioned mixture distribution: Multiple overlapping density models.- Physics.- Generating functional for the BBGKY hierarchy and the N-identical-body problem.- Entropies for continua: Fluids and magnetofluids.- A logical foundation for real thermodynamics.