Bayesian statistics 5 : proceedings of the Fifth Valencia International Meeting, June 5-9, 1994

Invited Papers (with discussion) Bayesian Questions and Answers in Queues The Intrinsic Bayes Factor for Linear Models Scientific Inference and Predictions: Multiplicities and Convincing Stories: A Case Study in Breast Cancer Therapy Bayes Linear Strategies for Matching Hydrocarbon Reservoir History Some New Tools for Dirichlet Priors Predictive Cross-Validation of Bayesian Meta-Analyses Bayesian Statistics and the Law The Framing of Statistical Decision Theory: A Decision Analytic View Efficient Parametrizations for Generalized Linear Mixed Models Construction of Thematic Maps from Satellite Imagery Local Sensitivity Analysis Bayesian Histograms Bayesian Approaches to Non- and Semiparametric Density Estimation Testing for Mixtures: A Bayesian Entropic Approach Hierarchical Models for Ranking and for Identifying Extremes, with Applications Convergence of Markov Chain MonteCarlo Algorithms Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance Likelihood and Bayesian Approximation Methods Statistical Aspects of Failure Processes in Ceramics Plausible Bayesian Games Computation on Bayesian Graphical Models Approximate Bayesian Computation Based on Signed Roots of Log-Density Ratios Support Theory: A Nonextensional Representation of Probability Judgment Some Statistical Issues in Palaeoclimatology Contributed Papers A note on Histogram Approximation in Bayesian Density Estimation Influence Diagrams under Partial Information Mixtures, Bayes and Archaeology On Bayes Factors for Nonparametric Alternatives Proper Scoring Rules for Fractiles Sequential Diagrams and Influence Diagrams: A Complementary Relationship for Modeling and Solving Decision Problems A comparison of Sequential Learning Methods for Incomplete Data Intrinsic Priors via Kullback-Leibler Geometry Conditional External Bayesianity in Decomposable Influence Diagrams Diagnostic Geometry for Bayes Linear Prediction Systems Spherically Symmetric Bayes Estimators for a Linear Subspace of a Normal Law Bayesian Analysis of Longitudinal Data Studies Efficient Metropolis Jumping Rules Variable Selection and Model Comparison in Regression Learning in Graphical Gaussian Models On Inference for Outputs of Computationally Expensive Algorithms with Uncertainty on the Inputs Iterative Rescaling for Bayesian Quadrature Hierarchical Modelling for Classifying Binary Data A Bayes Decision-Theoretic Approach to Dimensionality Reduction in Screen Design Robust Bayesian Analysis: An Interactive Approach Adaptive Bayesian Replacement Strategies Hierarchical Image Reconstruction Using Markov Randop Fields A Belief Function Approach to Likelihood Updating in a Gaussian Linear Model Bayesian Hierarchical Nonparametric Inference for Change-Point Problems A Bayesian Analysis of Non-Stationary AR Series A Bayesian Algorithm for Image Reconstruction with Variable Hyperparameter Stochastic Deformable Temnplates and Object Tracking Prior Beliefs About Fit The Geometry of Bayesian Inference Choosing an Appropriate Covariance Function in Bayesian Smoothing Intrinsic Bayes Factors for Model Selection with Autoregressive Data Bayes Factors, Nuisance Parameters and Imprecise Tests Graphical Methods for Simulation-Based Bayesian Inference Bayesian Approaches to the Population Modelling of a Monotonic Dose-Response Relation Bayes Linear Adjustment for Variance Matrices Models for Shape Deformation On Improving a Model for Combining Experts' Forecasts