Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting
Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting
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Abstract
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.
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Front Matter
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1 Invited Papers
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Bayesian Questions and Answers in Queues¹
C Armero andM J Bayarri
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The Intrinsic Bayes Factor for Linear Models¹
J O Berger andL R Pericchi
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Scientific Inference and Predictions; Multiplicities and Convincing Stories: A Case Study in Breast Cancer Therapy¹
D R Berry² and others
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Bayes Linear Strategies for Matching Hydrocarbon Reservoir History
P S Craig and others
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Some New Tools for Dirichlet Priors
P Diaconis andJ Kemperman
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Predictive Cross-Validation of Bayesian Meta-Analyses
W Dumouchel
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Bayesian Statistics and the Law
S E Fienberg andM O Finkelstein
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The Framing of Statistical Decision Theory: A Decision Analytic View
S French
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Efficient Parametrizations for Generalized Linear Mixed Models
A E Gelfand* and others
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Construction of Thematic Maps from Satellite Imagery
E J Green* and others
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Local Sensitivity Analysis
P Gustafson* and others
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Bayesian Histograms
J A Hartigan
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Bayesian Approaches to Non- and Semiparametric Density Estimation
N L Hjort
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Testing for Mixtures: A Bayesian Entropic Approach
K L Mengersen* andC P Robert**
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Hierarchical Models for Ranking and for Identifying Extremes, with Applications¹
C N Morris andC L Christiansen
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Convergence of Markov Chain Monte Carlo Algorithms¹
Nicholas G Polson
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Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance¹
A E Rafi’Ery and others
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Likelihood and Bayesian Approximation Methods
N Reid
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Statistical Aspects of Failure Processes in Ceramics
N D Singpurwalla and others
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Plausible Bayesian Games
J Q Smith
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Computation on Bayesian Graphical Models
D J Spiegelhalter and others
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Approximate Bayesian Computation Based on Signed Roots of Log-Density Ratios
T J Sweeting
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Support Theory: A Nonextensional Representation of Probability Judgment
A Tversky andD J Koehler
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Some Statistical Issues in Palæoclimatology¹
Mike West
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Bayesian Questions and Answers in Queues¹
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CONTRIBUTED PAPERS
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A Note on Histogram Approximation in Bayesian Density Estimation
A Andreev andE Arjas
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Influence Diagrams under Partial Information
C Bielza and others
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Mixtures, Bayes and Archaeology*
C E Buck* andC D Litton**
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On Bayes Factors for Nonparametric Alternatives
C Carota andG Parmigiani
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Proper Scoring Rules for Fractiles
J L Cervera* andJ Munoz**
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Sequential Diagrams and Influence Diagrams: A Complementary Relationship for Modeling and Solving Decision Problems
Z Covaliu
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A Comparison of Sequential Learning Methods for Incomplete Data
R G Cowell* and others
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Intrinsic Priors via Kullback-Leibler Geometry
J Dmochowski
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Conditional External Bayesianity in Decomposable Influence Diagrams
A E Faria andJ Q Smith
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Diagnostic Geometry for Bayes Linear Prediction Systems
M Farrow andM Goldstein
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Spherically Symmetric Bayes Estimators for a Linear Subspace of a Normal Law
D Fourdrinier* andM T Wells**
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Bayes Posteriors for Scalar Interest Parameters
D A S Fraser andN Reid
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Bayesian Analysis of Longitudinal Data Studies
D Gamerman andA F M Smith
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Efficient Metropolis Jumping Rules
A Gelman* and others
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Variable Selection and Model Comparison in Regression
J Geweke
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Learning in Graphical Gaussian Models
P Giudici
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On Inference for Outputs of Computationally Expensive Algorithms with Uncertainty on the Inputs
R G Haylock* andA O’Hagan**
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Iterative Rescaling for Bayesian Quadrature
M C Kennedy andA O’Hagan
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Hierarchical Modelling for Classifying Binary Data
G E Kokolakis* andP Dellaportas**
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A Bayes Decision-Theoretic Approach to Dimensionality Reduction in Screen Design
D J Laws* and others
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Robust Bayesian Analysis: An Interactive Approach
B Liseo* and others
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Adaptive Bayesian Replacement Strategies
T A Mazzuchi andR Soyer
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Hierarchical Image Reconstruction Using Markov Random Fields
N J Mcmillan andL M Berliner
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A Belief Function Approach to Likelihood Updating in a Gaussian Linear Model
P M Meehan* and others
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Bayesian Hierarchical Nonparametric Inference for Change-Point Problems
A Mira andS Petrone
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A Bayesian Analysis of Non-Stationary AR Series
J C Naylor andJ M Marriott
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A Bayesian Algorithm for Image Reconstruction with Variable Hyperparameter
J Núñez* andJ Llacer**
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Stochastic Deformable Templates and Object Tracking
D B Phillips andA F M Smith
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Prior Beliefs About Fit
D J Poirier
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The Geometry of Bayesian Inference
J F Shortle andM B Mendel
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Choosing an Appropriate Covariance Function in Bayesian Smoothing
M P Upsdell
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Intrinsic Bayes Factors for Model Selection with Autoregressive Data
J A Varshavsky
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Bayes Factors, Nuisance Parameters and Imprecise Tests
I Verdinelli andL Wasserman
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Graphical Methods for Simulation-Based Bayesian Inference
P Vounatsou andA F M Smith
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Bayesian Approaches to the Population Modelling of a Monotonic Dose-Response Relation
S G Walker andJ C Wakefield
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Bayes Linear Adjustment for Variance Matrices
D J Wilkinson andM Goldstein
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Models for Shape Deformation
A G Wilson andV E Johnson
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On Improving a Model for Combining Experts’ Forecasts
M P Wiper andL I Pettit
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A Note on Histogram Approximation in Bayesian Density Estimation
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