Bayesian Statistics 6 Proceedings of the

The Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area to come together to 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 sixth Proceedings is no exception and will be an indispensable reference to all statisticians.

Invited Papers (with discussion)

Bayesian Inference on Latent Structure in Time Series

3

(24)

Aguilar, O.

Huerta, G.

Prado, R.

West, M.

Information Theory and the Risk of Bayes Procedures

27

(26)

Barron, A.R.

Quantifying Surprise in the Data and Model Verification

53

(30)

Bayarri, M.J.

Berger, J.O.

Bayesian Methods in the Atmospheric Sciences

83

(18)

Berliner, L.M.

Royle, J.A.

Wikle, C.K.

Milliff, R.F.

Nested Hypothesis Testing: The Bayesian Reference Criterion

101

(30)

Bernardo, J.M.

Bayesian Models for Spatially Correlated Disease and Exposure Data

131

(26)

Best, N.G.

Arnold, R.A.

Thomas, A.

Waller, L.A.

Conlon, E.M.

Bayesian Model Averaging and Model Search Strategies

157

(30)

Clyde, M.A.

Hierachical Models for DNA Profiling Using Heterogeneous Databases

187

(26)

Dawid, A.P.

Pueschel, J.

On the Dangers of Modelling Through Continuous Distributions: A Bayesian Perspective

213

(26)

Fernandez, C.

Steel, M.F.J.

Bayesian Methods in Signal and Image Processing

239

(16)

Fitzgerald, W.J.

Godsill, S.J.

Kokaram, A.C.

Stark, J.A.

Functional Magnetic Resonance Imaging and Spatio-Temporal Inference

255

(20)

Genovese, C.R.

Simulation Methods for Model Criticism and Robustness Analysis

275

(26)

Geweke, J.

Exact Sampling for Bayesian Inference: Towards General Purpose Algorithms

301

(22)

Green, P.J.

Murdoch, D.J.

Spatial Regression for Marked Point Processes

323

(20)

Ickstadt, K.

Wolpert, R.L.

Bayesian Model Choice: What and Why?

343

(28)

Key, J.T.

Pericchi, L.R.

Smith, A.F.M.

Another Look at Conditionally Gaussian Markov Random Fields

371

(18)

Lavine, M.

Simulated Sintering: Markov Chain Monte Carlo with Spaces of Varying Dimensions

389

(26)

Liu, J.S.

Sabatti, C.

MCMC Convergence Diagnostics: A Reviewww

415

(26)

Mengersen, K.L.

Robert, C.P.

Guihenneuc-Jouyaux, Ch.

Issues in Service Quality Modelling

441

(18)

Moreno, A.

Rios-Insua, D.

Simulation-Based Optimal Design

459

(16)

Muller, P.

Regression and Classification Using Gaussian Process Priors

475

(28)

Neal, R.M.

Uncertainty Analysis and other Inference Tools for Complex Computer Codes

503

(22)

O'Hagan, A.

Kennedy, M.C.

Oakley, J.E.

Decision Models In Screening For Breast Cancer

525

(22)

Parmigiani, G.

Time-Varying Covariances: A Factor Stochastic Volatility Approach

547

(24)

Pitt, M.K.

Shephard, N.

Old and Recent Results on the Relationship Between Predictive Inference and Statistical Modelling either in Nonparametric or Parametric Form

571

(18)

Regazzini, E.

Bayesian and Frequentist Approaches to Parametric Predictive Inference

589

(24)

Smith, R.L.

Inference-Robust Institutional Comparisons: A Case Study of School Examination Results

613

(18)

Spiegelhalter, D.J.

Marshall, E.C.

Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models

631

(26)

Thiesson, B.

Meek, C.

Chickering, D.M.

Heckerman, D.

Spatial Dependence and Errors-in-Variables in Environmental Epidemiology

657

(28)

Wakefield, J.

Morris, S.

Robustifying Bayesian Procedures

685

(28)

Walker, S.G.

Gutierrez-Pena, E.

Contributed Papers

Pearson Type II Errors-in-Variables Models

713

(10)

Bolfarine, H.

Gasco, L.

Iglesias, P.

Bayesian Analysis of Animal Abundance Data via MCMC

723

(10)

Brooks, S.P.

Convergence Assessment for Reversible Jump MCMC Simulations

733

(10)

Brooks, S.P.

Giudici, P.

Fixed-Lag Smoothing using Sequential Importance Sampling

743

(10)

Clapp, T.C.

Godsill, S.J.

The Nile Revisited: Changepoint Analysis with Autocorrelation

753

(8)

Garisch, I.

Groenewald, P.C.N.

Non-Stationary Spatial Modeling

761

(8)

Higdon, D.

Swall, J.

Kern, J.

Bayesian Wavelet Analysis with a Model Complexity Prior

769

(8)

Holmes, C.C.

Dension, D.G.T.

Bayesian Analysis of Cepheid Variable Data

777

(8)

Jefferys, W.H.

Barnes, T.G.

A Bayesian Analysis of Stochastic Unit Root Models

785

(10)

Jones, C.R.

Marriott, J.M.

Optimal Design for Quantal Bioassay via Monte Carlo Methods

795

(8)

Kuo, L.

Soyer, R.

Wang, F.

Bayesian Estimation of a Location Parameter Using the Haar Basis

803

(10)

Leblane, A.

Angers, J.-F.

On the Different Structures of Posterior Distributions with Respect to the Prior Distribution

813

(8)

Macci, C.

A Bayesian Proposal for the Analysis of Stationary and Nonstationary AR(1) Time Series

821

(8)

Marinucci, D.

Petrella, L.

Bayes Sequential Decision Theory in Clinical Trials

829

(10)

Qian, W.

Brown, P.J.

Simplifying Complex Designs: Bayes Linear Experimental Design for Grouped Multivariate Exchangeable Systems

839

(10)

Shaw, S.C.

Goldstein, M.

Extremes of Mixed Environmental Processes

849

(10)

Walshaw, D.

Graphical Diagnostics for the Bayes Linear Analysis of Hierarchical Linear Models with Applications to Educational Data

859

Williams, D.R.

Goldstein, M.

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Amazon no longer offers textbook rentals. We do!

Bayesian Statistics 6 Proceedings of the Sixth Valencia International Meeting

Summary

Table of Contents

Supplemental Materials