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Bayesian Statistics 6 : Proceedings of the Sixth Valencia International Meeting - José M. Bernardo

Bayesian Statistics 6

Proceedings of the Sixth Valencia International Meeting

By: José M. Bernardo (Editor), James O. Berger (Editor), A. P. Dawid (Editor), Adrian F. M. Smith (Editor)

Hardcover Published: 1st October 1999
ISBN: 9780198504856
Number Of Pages: 878

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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.

I. INVITED PAPERS (With discussion) Bayesian Inference on Latent Structure in Time Series Information Theory and the Risk of Bayes Procedures Quantifying Surprise in the Data and Model Verification Bayesian Methods in the Atmospheric Sciences Nested Hypothesis Testing: The Bayesian Reference Criterion Bayesian Models for Spatially Correlated Disease and Exposure Data Bayesian Model Averaging and Model Search Strategies Hierarchical Models for DNA Profiling Using Heterogeneous Databases On the Dangers of Modelling Through Continuous Distributions: A Bayesian Perspective Bayesian Methods in Signal and Image Processing Functional Magnetic Resonance Imaging and Spatio-Temporal Inference Simulation Methods for Model Criticism and Robustness Analysis Exact Sampling for Bayesian Inference: Towards General Purpose Algorithms Spatial Regression for Marked Point Processes Bayesian Model Choice: What and Why? Another Look at Conditionally Gaussian Markov Random Fields Simulated Sintering: Markov Chain Monte Carlo With Spaces of Varying Dimensions Markov Chain Monte Carlo Convergence Diagnostics: A Review Issues in Service Quality Modelling Simulation-Based Optimal Design Regression and Classification Using Gaussian Process Priors Uncertainy Analysis and other Inference Tools for Complex Computer Codes Decision Models in Screening for Breast Cancer Time-Varying Covariances: a Factor Stochastic Volatility Approach Old and Recent Results on the Relationship Between Predictive Inference and Statistical Modelling either in Nonparametric or Parametric Form Bayesian and Frequentist Approaches to Parametric Predictive Inference Inference-Robust Institutional Comparisons: A Case Study of School Examination Results Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models Spatial Dependence and Errors-in-Variables in Environmental Epidemiology Robustifying Bayesian Procedures II. CONTRIBUTED PAPERS Pearson Type II Errors-in-Variables Models Bayesian Analysis of Animal Abundance Data via MCMC Convergence Assessment for Reversible Jump MCMC Simulations Fixed-Lag Smoothing using Sequential Importance Sampling The Nile Revisited: Changepoint Analysis with Autocorrelation Non-Stationary Spatial Modelling Bayesian Wavelet Analysis with a Model Complexity Prior Bayesian Analysis of Cepheid Variable Data A Bayesian Analysis of Stochastic Unit Root Models Optimal Design for Quantal Bioassay via Monte Carlo Methods Bayesian Estimation of a Location Parameter Using the Haar Basis On the Different Structures of Posterior Distributions with Respect to the Prior Distribution A Bayesian Proposal for the Analysis of Stationary and Nonstationary AR(1) Time Series Bayes Sequential Decision Theory in Clinical Trials Simplifying Complex Designs: Bayes Linear Experimental Design for Grouped Multivariate Exchangeable systems Extremes of Mixed Environmental Processes Graphical Diagnostics for the Bayes Linear Analysis of Hierarchical Linear Models with Applications to Educational Data

ISBN: 9780198504856
ISBN-10: 0198504853
Series: Oxford Science Publications
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 878
Published: 1st October 1999
Publisher: Oxford University Press
Country of Publication: GB
Dimensions (cm): 24.1 x 16.7  x 4.5
Weight (kg): 1.77