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Zusatztext ... this collection provides an excellent overview of current research in Bayesian statistics ... Given the high quality of most papers in this volume! and the range of interesting applications! this is a must for academic libraries. I would advise researchers in Statistics! OR! and related fields to have a look at the volume! as it provides a fast overview of recent developments in Bayesian statistics. Some of the applications might also provide useful examplesfor teaching statistics at the postgraduate level. Informationen zum Autor Professor José M. Bernardo Professor of Statistics, Universidad de Valencia, Spain; A. Philip DawidProfessor of Statistics, University College London, UK AWARDS: 2002 DeGroot Prize for a Published Book in Statistical Science (Cowell et al.)2001 Royal Statistical Society: Guy Medal in Silver1978 Royal Statistical Society: Guy Medal in Bronze1977 G. W. Snedecor Award for Best Publication in Biometry; David HeckermanSenior Researcher, MicrosoftAAAI Fellow, 2001Association for Computing Machinery Doctoral Dissertation Award, 1991; Mike WestThe Arts & Sciences Professor of Statistics & Decision SciencesInstitute of Statistics and Decision Sciences, Duke University; James O. BergerProfessor of Statistics, Duke University; Professor M.J. Bayarri Professor of Statistics, Universidad de Valencia, Spain; Professor Adrian F.M. SmithPrincipal, Queen Mary University of London Klappentext 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. Zusammenfassung 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 discuss frontier developments in the field. This seventh proceedings contains 23 invited articles and 31 contributed papers. Arellano-Valle, R. B., Iglesias, P. L. and Vidal I.: Bayesian Inference for Elliptical Linear Models: Conjugate Analysis and Model Comparison; Blei, D. M., Jordan, M. I. and Ng, A. Y.: Hierarchical Bayesian Models for Applications in Information Retrieval; Carlin, B. P. and Banerjee, S.: Hierarchical Multivariate CAR Models for Spatio- Temporally Correlated Survival Data; Chib, S.: On Inferring Effects of Binary Treatments with Unobserved Confounders; Chipman, H. A., George, E. I. and McCulloch, R. E.: Bayesian Treed Generalized Linear Models; Davy, M. and Godsill, S. J.: Bayesian Harmonic Models for Musical Signal Analysis; Dobra, A., Fienberg, S. E. and Trottini, M.: Assessing the Risk of Disclosure of Confidential Categorical Data; Genovese, C. and Wasserman, L: Bayesian and Frequentist Multiple Testing ... 145; Gutierrez-Pena, E. and Nieto-Barajas, L. E.: Nonparametric Inference for Mixed Poisson Processes; Higdon, D., Lee, H. and Holloman, C. : Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems; Johnson, V. E., Graves, T. L., Hamada, M. S. and Shane, C.: Reese A Hierarchical Model for Estimating the Reliability of Complex Systems; Lauritzen, S. L.: Rasch Models with Exchangeable Rows and Columns; Linde, A. Van Der and Osius, G.: Discrimination Based on an Odds Ratio Parameterization; Liu, J. S., Zhang, J. L., Palumbo, M. J. and Charles, E.: Lawrence Bayesian Clustering with Variable and Transformation Selections; Mengersen, K. L. and Robert, C. P.: Iid Sampling using Self-Avoiding Population Monte Carlo: The Pinball Sampler; Newton, M. A., Ya...
