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Bayesian Statistics 6 Proceedings of the Sixth Valencia International Meeting

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ISBN-10: 0198504853

ISBN-13: 9780198504856

Edition: 1999

Authors: J. M. Bernardo, J. O. Berger, A. P. Dawid, A. F. M. Smith

List price: $285.00
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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.
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Book details

List price: $285.00
Copyright year: 1999
Publisher: Oxford University Press, Incorporated
Publication date: 10/28/1999
Binding: Hardcover
Pages: 878
Size: 6.14" wide x 9.21" long x 1.77" tall
Weight: 3.894
Language: English

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 Uncertain 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
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