edited by José M. Bernardo, James O. Berger, A. Philip Dawid and Adrian F. M. Smith, Oxford University Press, Oxford, 1999, 880 pp., hardback, ISBN 0-19-850485-3

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

Contents:
I. INVITED PAPERS (with discussion)

Aguilar, O., Huerta, G., Prado, R. and West, M. - Bayesian Inference on Latent Structure in Time Series

Barron, A. R. - Information Theory and the Risk of Bayes Procedures

Bayarri, M. J. and Berger, J. O. - Quantifying Surprise in the Data and Model Verification

Berliner, L. M., Royle, J. A., Wikle, C. K. and Milliff, R. F. - Bayesian Methods in the Atmospheric Sciences

Bernardo, J. M. - Nested Hypothesis Testing: The Bayesian Reference Criterion

Best, N. G. , Arnold, R. A., Thomas, A. Waller, L. A. and Conlon, E. M. - Bayesian Models for Spatially Correlated Disease and Exposure Data

Clyde, M. A. - Bayesian Model Averaging and Model Search Strategies

Dawid, A. P. and Pueschel, J. - Hierarchical Models for DNA Profiling Using Heterogeneous Databases

Fernández, C. and Steel, M. F. J. - On the Dangers of Modelling Through Continuous Distributions: A Bayesian Perspective

Fitzgerald, W. J., Godsill, S. J., Kokaram, A. C. and Stark, J. A. - Bayesian Methods in Signal and Image Processing

Genovese, C. R. - Functional Magnetic Resonance Imaging and Spatio-Temporal Inference

Geweke, J. - Simulation Methods for Model Criticism and Robustness Analysis

Green, P. J. and Murdoch, D. J. - Exact Sampling for Bayesian Inference: Towards General Purpose Algorithms

Ickstadt, K. and Wolpert, R. L. - Spatial Regression for Marked Point Processes

Key, J. T., Pericchi, L. R. and Smith, A. F. M. - Bayesian Model Choice: What and Why?

Lavine, M. - Another Look at Conditionally Gaussian Markov Random Fields

Liu, J. S. and Sabatti, C. - Simulated Sintering: Markov Chain Monte Carlo with Spaces of Varying Dimensions

Mengersen, K. L., Robert, C. P. and Guihenneuc-Jouyaux, Ch. - MCMC Convergence Diagnostics: A Reviewww

Moreno, A. and Ríos-Insúa, D. - Issues in Service Quality Modelling

Müller, P. - Simulation-Based Optimal Design

Neal, R. M.Regression and Classification Using - Gaussian Process Priors

O'Hagan, A., Kennedy, M. C. and Oakley, J. E. - Uncertainty Analysis and other Inference Tools for Complex Computer Codes

Parmigiani, G. - Decision Models In Screening For Breast Cancer

Pitt, M. K. and Shephard, N. - Time-Varying Covariances: A Factor Stochastic Volatility Approach

Regazzini, E. - Old and Recent Results on the Relationship Between Predictive Inference and Statistical Modelling either in Nonparametric or Parametric Form

Smith, R. L. - Bayesian and Frequentist Approaches to Parametric Predictive Inference

Spiegelhalter, D. J. and Marshall, E. C. - Inference-Robust Institutional Comparisons: A Case Study of School Examination Results

Thiesson, B., Meek, C., Chickering, D. M. and Heckerman, D. - Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models

Wakefield, J. and Morris, S. - Spatial Dependence and Errors-in-Variables in Environmental Epidemiology

Walker, S. G. and Gutiérrez-Peña, E. - Robustifying Bayesian Procedures

II. CONTRIBUTED PAPERS

Bolfarine, H., Gasco, L. and Iglesias, P. - Pearson Type II Errors-in-Variables Models

Brooks, S. P. - Bayesian Analysis of Animal Abundance Data via MCMC

Brooks, S. P. and Giudici, P. - Convergence Assessment for Reversible Jump MCMC Simulations

Clapp, T. C. and Godsill, S. J. - Fixed-Lag Smoothing using Sequential Importance Sampling

Garisch, I. and Groenewald, P. C. N. - The Nile Revisited: Changepoint Analysis with Autocorrelation

Higdon, D., Swall, J. and Kern, J. - Non-Stationary Spatial Modeling

Holmes, C. C. and Denison, D. G. T. - Bayesian Wavelet Analysis with a Model Complexity Prior

Jefferys, W. H. and Barnes, T. G. - Bayesian Analysis of Cepheid Variable Data

Jones, C. R. and Marriott, J. M. - A Bayesian Analysis of Stochastic Unit Root Models

Kuo, L., Soyer, R. and Wang, F. - Optimal Design for Quantal Bioassay via Monte Carlo Methods

Leblanc, A. and Angers, J.-F. - Bayesian Estimation of a Location Parameter Using the Haar Basis

Macci, C. - On the Different Structures of Posterior Distributions with Respect to the Prior Distribution

Marinucci, D. and Petrella, L. - A Bayesian Proposal for the Analysis of Stationary and Nonstationary AR(1) Time Series

Qian, W. and Brown, P. J. - Bayes Sequential Decision Theory in Clinical Trials

Shaw, S. C. and Goldstein, M. - Simplifying Complex Designs: Bayes Linear Experimental Design for Grouped Multivariate Exchangeable Systems

Walshaw, D. - Extremes of Mixed Environmental Processes

Williams, D. R. and Goldstein, M. - Graphical Diagnostics for the Bayes Linear Analysis of Hierarchical Linear Models with Applications to Educational Data