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Bayesian Statistics 7: Proceedings of the Seventh Valencia International Meeting

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Overview


The Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area of Bayesian Statistics to come together to present and discus 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 Seventh Proceedings containing 23 invited articles and 30 contributed papers is no exception and will be an indispensable reference to all statisticians.
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Product Details

  • ISBN-13: 9780198526155
  • Publisher: Oxford University Press, USA
  • Publication date: 9/11/2003
  • Pages: 768
  • Product dimensions: 9.30 (w) x 6.40 (h) x 1.70 (d)

Meet the Author

Universidad de Valencia

University College London

Duke University

Duke University

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Table of Contents

Bayesian Inference for Elliptical Linear Models: Conjugate Analysis and Model Comparison 3
Hierarchical Bayesian Models for Applications in Information Retrieval 25
Hierarchical Multivariate CAR Models for Spatio-Temporally Correlated Survival Data 45
On Inferring Effects of Binary Treatments with Unobserved Confounders 65
Bayesian Treed Generalized Linear Models 85
Bayesian Harmonic Models for Musical Signal Analysis 105
Assessing the Risk of Disclosure of Confidential Categorical Data 125
Bayesian and Frequentist Multiple Testing 145
Nonparametric Inference for Mixed Poisson Processes 163
Markov Chain Monte Carlo-based Approaches for Inference in Computationally Intensive Inverse Problems 181
A Hierarchical Model for Estimating the Reliability of Complex Systems 199
Rasch Models with Exchangeable Rows and Columns 215
Discrimination Based on an Odds Ratio Parameterization 233
Bayesian Clustering with Variable and Transformation Selections 249
IID Sampling using Self-Avoiding Population Monte Carlo: The Pinball Sampler 277
A Statistical Approach to Modelling Genomic Aberrations in Cancer Cells 293
Non-Centered Parameterizations for Hierarchical Models and Data Augmentation 307
Identifying Mixtures of Regression Equations by the SAR procedure 327
Global Gambling 349
New Tools for Consistency in Bayesian Nonparametrics 369
Measures of Incoherence: How not to Gamble if you Must 385
A Nonparametric Bayesian Approach to Inverse Problems 403
A Novel Framework for Tracking Groups of Objects 419
Bayesian Modelling of Hospital Bed Occupancy Times using a Mixed Generalized Erlang Distribution 443
The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures 453
Intrinsic Estimation 465
Robust Analysis of Salamander Data, Generalized Linear Model with Random Effects 477
A Relationship Between Randomized Manipulation and Parameter Independence 485
Markov Random Field Extensions using State Space Models 493
Bayesian Estimation of the Grade of Membership Model 501
A Variant Version of the Polya-Eggenberger Urn Model 511
Multi-scale Modelling of 1-D Permeability Fields 519
Direct Bayes for Interest Parameters 529
Dynamic Lattice-Markov Spatio-Temporal Models for Environmental Data 535
Lymphoscintigraphy of Upper Limbs: A Bayesian Framework 543
Bayesian Analysis of Matched Pairs in the Presence of Covariates 553
State Space Models for Density Dependence in Population Ecology 565
A Marginal Ergodic Theorem 577
Exact Bayesian Inference for a Class of Nonlinear Systems with Application to Robotic Assembly 587
Compatible Priors for Causal Bayesian Networks 597
On the Application of Logistic Regression Modelling in Microarray Studies 607
Density Modelling and Clustering Using Dirichlet Diffusion Trees 619
Outlier Robust Estimation of a Finite Population Total 631
Bayesian Inference for Derivative Prices 641
Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals 651
Objective Bayesian Comparison of Laplace Samples from Geophysical Data 661
The Markov Modulated Poisson Process and Markov Poisson Cascade with Applications to Web Traffic Modelling 671
Modelling Bivariate Extremes in a Region 681
Bayesian Object Matching with Hierarchical Priors and Markov Chain Monte Carlo 691
Expected Utility Estimation via Cross-Validation 701
A Method for Sequential Optimization in Bayesian Analysis 711
Modelling Gene Expression Data over Time: Curve Clustering with Information Prior Distributions 721
Bayesian Factor Regression Models in the "Large p, Small n" Paradigm 733
A Bayesian Analysis of Smooth Transitions in Trend 743
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