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  • Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994

    Bayesian Statistics 5 by Bernardo, J. M.; Berger, J. O.; Dawid, A. P.;

    Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994

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    Product details:

    • Publisher OUP Oxford
    • Date of Publication 9 May 1996

    • ISBN 9780198523567
    • Binding Hardback
    • No. of pages826 pages
    • Size 241x162x45 mm
    • Weight 1195 g
    • Language English
    • Illustrations line figures, tables
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    Short description:

    The proceedings of The Valencia International Meeting on Bayesian Statistics (held every three years) provide an overview of this important and highly topical area in theoretical and applied statistics.

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    Long description:

    The Valencia International Meetings on Bayesian Statistics, held every four years, provide the forum for researchers to come together and discuss frontier developments in the field. The resulting Proceedings provide a definitive, up-to-date overview encompassing a wide range of theoretical and applied research. This fifth Proceedings is no exception. In particular, it reflects a growing emphasis on computational issues, concerned with making Bayesian methods routinely available to applied practitioners, both statisticians and speciailists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities.

    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.

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    Table of Contents:

    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 AnalysisP. Gustafson, C. Srinivasan, and L. Wasserman
    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

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