• 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

In the preface, the editors say that they believe that "the Proceedings provide a definitive, up-to-date overview of current concerns and activity in Bayesian statistics, encompassing a wide range of theoretical and applied research." I concur with their belief, and I eagerly await publication of the proceedings of the next Valencia meeting.