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The articles of this volume will be reviewed individually. The preceding conference (12, 1992) has been reviewed (see Zbl 0810.00023).
Indexed articles:
Bretthorst, G. Larry, An introduction to model selection using probability theory as logic, 1-42 [Zbl 0895.62004]
MacKay, David J. C., Hyperparameters: Optimize, or integrate out?, 43-59 [Zbl 0895.62030]
Wolpert, David H.; Strauss, Charlie E. M., What Bayes has to say about the evidence procedure, 61-78 [Zbl 0895.62036]
Wolpert, David H., Reconciling Bayesian and non-Bayesian analysis, 79-86 [Zbl 0895.62035]
Rodríguez, Carlos C., Bayesian robustness: A new look from geometry, 87-96 [Zbl 0895.62002]
Basu, Sanjib; Jammalamadaka, Sreenivasa Rao; Liu, Wei, Local posterior robustness with parametric priors: Maximum and average sensitivity, 97-106 [Zbl 0895.62025]
Miller, David; Rose, Kenneth, Tree-structured clustering via the minimum cross entropy principle, 107-120 [Zbl 0895.62068]
Mohammad-Djafari, Ali; Idier, Jérôme, A scale invariant Bayesian method to solve linear inverse problems, 121-134 [Zbl 0895.62032]
Robinson, Enders A., Maximum entropy signal transmission, 135-147 [Zbl 0900.94002]
Wallstrom, Timothy C., Maximum quantum entropy for classical density functions, 149-155 [Zbl 0895.62008]
Wallstrom, Timothy C., Smoothing in maximum quantum entropy, 157-159 [Zbl 0895.62009]
Silver, R. N.; Wallstrom, T.; Martz, H. F., Density estimation by maximum quantum entropy, 161-174 [Zbl 0895.62007]
Garrett, Anthony J. M., Belief and desire, 175-186 [Zbl 0897.60003]
Pendock, Neil, A Bayesian genetic algorithm for calculating maximum entropy distributions, 187-195 [Zbl 0895.62006]
Desmedt, Paul; Lemahieu, Ignace; Thielemans, K., A \(\text{MATHEMATICA}^{TM}\) package for symbolic Bayesian calculations, 197-203 [Zbl 0895.62001]
Desmedt, Paul; Lemahieu, Ignace; Bastiaens, Koen, A multicriterion evaluation of the MEMSYS5 program for PET, 205-211 [Zbl 0900.92096]
Bastiaens, Koen; Desmedt, Paul; Lemahieu, Ignace, Parallel maximum entropy reconstruction of PET images, 213-219 [Zbl 0900.92097]
MacKay, David J. C., Bayesian nonlinear modeling for the prediction competition, 221-234 [Zbl 0900.62145]
Lewicki, Michael S., Bayesian modeling and classification of neural signals, 235-253 [Zbl 0896.92007]
Hanson, K. M.; Wolf, D. R., Estimators for the Cauchy distribution, 255-263 [Zbl 0895.62029]
Ramaswami, Anand; Bretthorst, G. Larry, Probability theory and multiexponential signals, how accurately can the parameters be determined?, 265-273 [Zbl 0900.62566]
Puetter, R. C.; Piña, R. K., Pixon-based image reconstruction, 275-292 [Zbl 0895.62104]
Cheeseman, Peter; Kanefsky, Bob; Kraft, Richard; Stutz, John; Hanson, Robin, Super-resolved surface reconstruction from multiple images, 293-308 [Zbl 0900.62565]
Green, Andrew G.; MacKay, David J. C., Bayesian analysis of linear phased-array radar, 309-318 [Zbl 0900.62563]
Tansley, John E.; Oldfield, Martin J.; MacKay, David J. C., Neural network image deconvolution, 319-325 [Zbl 0900.68434]
Plotkin, Nina T.; Wyner, Abraham J., An entropy estimator algorithm and telecommunications applications, 351-363 [Zbl 0890.94018]
Mailaender, Laurence; Iltis, Ronald A., A common Bayesian approach to multiuser detection and channel equalization, 365-374 [Zbl 0885.94011]
Stutzer, Michael, Thermostatics in financial economics, 375-390 [Zbl 0884.90053]
Rosen, David B., How good were those probability predictions? The expected recommendation loss (ERL) scoring rule, 401-408 [Zbl 0895.62013]