Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting by J. M. BernardoBayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting by J. M. Bernardo

Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting

EditorJ. M. Bernardo, J. O. Berger, A. P. Dawid

Hardcover | April 30, 1999

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The proceedings of the Valencia International Meeting on Bayesian Statistics (held every four years) provide an overview of this important and highly topical area in theoretical and applied statistics. This fifth Proceedings reflects a growing emphasis on computational issues concerned withmaking Bayesian methods routinely available to applied practitioners both statisticians and specialists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities.
J. M. Bernardo, Professor of Statistics, Department of Decision Analysis, Generalidad Valenciana, Spain. J. O. Berger, Professor of Statistics, Purdue University. A. P. Dawid, Professor of Statistics, University College of London.
Title:Bayesian Statistics 5: Proceedings of the Fifth Valencia International MeetingFormat:HardcoverDimensions:824 pages, 9.21 × 6.14 × 0.03 inPublished:April 30, 1999Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198523564

ISBN - 13:9780198523567

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Table of Contents

Invited Papers (with discussion)C. Armero and M.J. Bayarri: Bayesian Questions and Answers in QueuesJ.O. Berger and L.R. Pericchi: The Intrinsic Bayes Factor for Linear ModelsD.A. Berry, A. Thor, C. Cirrincione, S. Edgerton, H. Muss, J. Marks E. Liu, W. Budman D. Wood, M. Perloof, W. Peters and I.C. Henderson: Scientific Inference and Predictions: Multiplicities and Convincing Stories: A Case Study in Breast Cancer TherapyP.S. Craig, M. Goldstein, A. H. Seheult, and J.A. Smith: Bayes Linear Strategies for Matching Hydrocarbon Reservoir HistoryP. Diaconis and J. Kemperman: Some New Tools for Dirichlet PriorsW. DuMouchel: Predictive Cross-Validation of Bayesian Meta-AnalysesS.E. Fienberg and M.O. Finkelstein: Bayesian Statistics and the LawS. French: The Framing of Statistical Decision Theory: A Decision Analytic ViewA.E. Gelfand, S.K. Sahu and B.P. Carlin: Efficient Parametrizations for Generalized Linear Mixed ModelsE.J. Green, A.F.M. Smith and W.E. Strawderman: Construction of Thematic Maps from Satellite ImageryLocal Sensitivity AnalysisJ.A. Hartigan: Bayesian HistogramsN.L. Hjort: Bayesian Approaches to Non- and Semiparametric Density EstimationK.L. Mengersen and C.P. Robert: Testing for Mixtures: A Bayesian Entropic ApproachC.N. Morris and C.L. Christiansen: Hierarchical Models for Ranking and for Identifying Extremes, with ApplicationsN.G. Polson: Convergence of Markov Chain MonteCarlo AlgorithmsA.E. Raftery, D. Madigan and C.T. Volinsky: Accounting for Model Uncertainty in Survival Analysis Improves Predictive PerformanceN. Reid: Likelihood and Bayesian Approximation MethodsN.D. Singpurwalla, S.P. Wilson and E.R. Fuller: Statistical Aspects of Failure Processes in CeramicsJ.Q. Smith: Plausible Bayesian GamesD.J. Spieghalter, A. Thomas and N.G. Best: Computation on Bayesian Graphical ModelsT.J. Sweeting: Approximate Bayesian Computation Based on Signed Roots of Log-Density RatiosA. Tversky and D.J. Koehler: Support Theory: A Nonextensional Representation of Probability JudgmentM. West: Some Statistical Issues in PalaeoclimatologyContributed PapersA. Andreev and E. Arjas: A note on Histogram Approximation in Bayesian Density EstimationC. Bielza, D. Rios-Insua and S. Rios-Insua: Influence Diagrams under Partial InformationC.E. Buck and C.D. Litton: Mixtures, Bayes and ArchaeologyC. Carota and G. Parmigiani: On Bayes Factors for Nonparametric AlternativesJ.L. Cervera and J. Munoz: Proper Scoring Rules for FractilesZ. Covaliu: Sequential Diagrams and Influence Diagrams: A Complementary Relationship for Modeling and Solving Decision ProblemsR.G. Cowell, A.P. Dawid and P. Sebastiani: A comparison of Sequential Learning Methods for Incomplete DataJ. Dmochowski: Intrinsic Priors via Kullback-Leibler GeometryA.E. Faria and J.W. Smith: Conditional External Bayesianity in Decomposable Influence DiagramsM. Farrow and M. Goldstein: Diagnostic Geometry for Bayes Linear Prediction SystemsD. Fourdrinier and M.T. Wells: Spherically Symmetric Bayes Estimators for a Linear Subspace of a Normal LawD. Gamerman and A.F.m. Smith: Bayesian Analysis of Longitudinal Data StudiesA. Gelman, G.O. Roberts and W.R. Gilks: Efficient Metropolis Jumping RulesJ. Geweke: Variable Selection and Model Comparison in RegressionP. Giudici: Learning in Graphical Gaussian ModelsR.G. haylock and A. O;Hagan: On Inference for Outputs of Computationally Expensive Algorithms with Uncertainty on the InputsM.C. Kennedy and A. O'Hagan: Iterative Rescaling for Bayesian QuadratureG.E. Kokolakis and P. Dellaportas: Hierarchical Modelling for Classifying Binary DataD.J. Laws, R.J. Boys and K.D. Glazebrook: A Bayes Decision-Theoretic Approach to Dimensionality Reduction in Screen DesignB. Liseo, L. Petrella and G. Salinetti: Robust Bayesian Analysis: An Interactive ApproachT.A. Mazzuchi and R. Soyer: Adaptive Bayesian Replacement StrategiesN.J. McMillan and L.M. Berliner: Hierarchical Image Reconstruction Using Markov Randop FieldsP.M. Meehan, A.P. Dempster and E.N. Brown: A Belief Function Approach to Likelihood Updating in a Gaussian Linear ModelA. Mira and S. Petrone: Bayesian Hierarchical Nonparametric Inference for Change-Point ProblemsJ.C. Naylos and J.M. Marriot: A Bayesian Analysis of Non-Stationary AR SeriesJ. Nunez and J. Llacer: A Bayesian Algorithm for Image Reconstruction with Variable HyperparameterD.B. Phillips and A.F.M. Smith: Stochastic Deformable Temnplates and Object TrackingD.J. Poirier: Prior Beliefs About FitJ.F. Shortle and M.B. Mendel: The Geometry of Bayesian InferenceM.P. Upsdell: Choosing an Appropriate Covariance Function in Bayesian SmoothingJ.A. Varshavsky: Intrinsic Bayes Factors for Model Selection with Autoregressive DataI. Verdinelli and L. Wasserman: Bayes Factors, Nuisance Parameters and Imprecise TestsP. Vounatsou and A.F.M. Smith: Graphical Methods for Simulation-Based Bayesian InferenceS. Walker and J. Wakefield: Bayesian Approaches to the Population Modelling of a Monotonic Dose-Response RelationD.J. Wilkinson and M. Goldstein: Bayes Linear Adjustment for Variance MatricesA.G. Wilson and V.E. Johnson: Models for Shape DeformationM.P. Wiper and L.I. Pettit: On Improving a Model for Combining Experts' Forecasts

Editorial Reviews

`The range of topics is impressive. The excellent reputation of the conference, its proceedings and the subsequent contributions of this volume are presentative of the "state of the art" in the Bayesian world.'Metrika