Maximum entropy and Bayesian methods. Proceedings of the fourteenth international workshop, Cambridge, UK, August 1-5, 1994 (Q1353356)

The articles of this volume will be reviewed individually. The preceding conference (13, 1993) has been reviewed (see Zbl 0845.00049). Indexed articles: \textit{Fordham, E. J.; Xing, D.; Derbyshire, J. A.; Gibbs, S. J.; Carpenter, T. A.; Hall, L. D.}, Flow and diffusion images from Bayesian spectral analysis of motion-encoded NMR data, 1-12 [Zbl 0925.62555] \textit{Marseille, G. J.; de Beer, R.; Fuderer, M.; Mehlkopf, A. F.; van Ormondt, D.}, Bayesian estimations of MR images from incomplete raw data, 13-22 [Zbl 0925.62103] \textit{von der Linden, W.; Ertl, K.; Dose, V.}, Bayesian consideration of the tomography problem, 41-49 [Zbl 0925.62117] \textit{Macaulay, Vincent A.; Buck, Brian}, A fresh look at model selection in inverse scattering, 59-67 [Zbl 0925.62118] \textit{Hansen, Steen; Müller, Jürgen J.}, The maximum-entropy method in small-angle scattering, 69-78 [Zbl 0925.62556] \textit{Zou, Li-He; Wang, Zhengrong; Roemer, Louis E.}, Maximum entropy multi-resolution EM tomography by adaptive subdivision, 79-89 [Zbl 0900.62564] \textit{Solms, F.; van Rooyen, P. G. W.; Kunicki, J. S.}, Maximum entropy performance analysis of spread-spectrum multiple-access communications, 101-108 [Zbl 0925.62034] \textit{Stutz, John; Cheeseman, Peter}, Autoclass -- a Bayesian approach to classification, 117-126 [Zbl 0925.62119] \textit{Desmedt, Paul; Lemahieu, Ignace; Theilemans, K.}, Evolution review of BayesCalc, a \(\text{MATHEMATICA}^{\text{TM}}\) package for doing Bayesian calculations, 127-134 [Zbl 0900.62013] \textit{Kadirkamanathan, Visakan}, Bayesian inference for basis function selection in nonlinear system identification using genetic algorithms, 135-142 [Zbl 0925.62120] \textit{Tribus, Myron}, The meaning of the word ``probability'', 143-155 [Zbl 0925.62021] \textit{Garrett, Anthony J. M.}, Are the samples doped -- if so, how much?, 165-174 [Zbl 0925.62557] \textit{Rodríguez, C. C.}, Confidence intervals from one observation, 175-182 [Zbl 0925.62127] \textit{Vignaux, G. A.; Robertson, Bernard}, Hypothesis refinement, 183-188 [Zbl 0925.62121] \textit{Sibisi, Sibusiso; Skilling, John}, Bayesian density estimation, 189-198 [Zbl 0925.62151] \textit{Brette, Stéphane; Idier, Jérôme; Mohammad-Djafari, Ali}, Scale invariant Markov models for Bayesian inversion of linear inverse problems, 199-212 [Zbl 0925.62359] \textit{Schramm, Manfred; Greiner, Michael}, Foundations: Indifference, independence \(\&\) maxent, 213-222 [Zbl 0925.62031] \textit{Bercher, Jean-François; Le Besnerais, Guy; Demoment, Guy}, The maximum entropy on the mean method, noise and sensitivity, 223-232 [Zbl 0904.62003] \textit{Daniell, G. J.}, The maximum entropy algorithm applied to the two-dimensional random packing problem, 233-238 [Zbl 0898.60019] \textit{Barnett, Alex H.; MacKay, David J. C.}, Bayesian comparison of models for images, 239-248 [Zbl 0925.62116] \textit{MacKay, David J. C.; Takeuchi, Ryo}, Interpolation models with multiple hyperparameters, 249-257 [Zbl 0925.62115] \textit{MacKay, David J. C.}, Density networks and their application to protein modelling, 259-268 [Zbl 0925.62033] \textit{Luttrell, Stephen P.}, The cluster expansion: A hierarchical density model, 269-278 [Zbl 0925.62114] \textit{Luttrell, Stephen P.}, The partitioned mixture distribution: Multiple overlapping density models, 279-286 [Zbl 0925.62032] \textit{Gull, Stephen F.; Garrett, Anthony J. M.}, Generating functional for the BBGKY hierarchy and the \(N\)-identical-body problem, 287-301 [Zbl 0898.60103]