Bayesian Statistics 6: Proceedings of the Sixth Valencia International Meeting

Front Cover
J. M. Bernardo
Clarendon Press, Aug 12, 1999 - Business & Economics - 867 pages
1 Review
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.
 

What people are saying - Write a review

User Review - Flag as inappropriate

771 bayesian wavelet analysis

Contents

Bayesian Inference on Latent
3
Information Theory and the Risk of Bayes Procedures
27
Quantifying Surprise in the Data and Model
53
Bayesian Methods
83
Nested Hypothesis Testing The Bayesian Reference Criterion
101
Bayesian
131
Bayesian Model Averaging and Model Search Strategies
157
Hierarchical Models for DNA Profiling Using
187
SimulationBased Optimal Design
459
Regression and Classification ising Gaussian Process Priors
475
Uncertainty Analysis and other
503
Decision Models In Screening For Breast Cancer
525
TimeVarying Covariances A Factor Stochastic
547
Old and Recent Results on the Relationship Between Predictive
571
Bayesian and Frequentist Appmaches to Parametric Predictive Inference
589
InferenceRobust Institutional Comparisons
613

On the Dangers of Modelling Through Continuous
213
Bayesian
239
Functional Magnetic Resonance Imaging and SpatioTemporal
255
Simulation Methods for Model Criticism and Robustness Analysis
275
Exact Sampling for Bayesian Inference Towards
301
Spatial Regression for Marked Point Processes
323
Bayesian Model Choice
343
Another Look at Conditionally Gaussian Markov Random Fields
371
Computationally
387
Simulated Sintering Markov Chain Monte Carlo with
389
MCMC
415
Issues in Senice Quality Modelling
441
Spatial Dependence and ErrorsinVariables
657
Rotmstifying Bayesian Procedures
685
Pearson Type IJ ErrorsinVariables Models
713
Convergence Assessment for Reversible Jump MCMC
733
The Nile Revisited Changepoint Analysis
753
Bayesian Wavelet Analysis with a Model
769
A Bayesian Analysis of Stochastic Unit Root Models
785
Bayesian Estimation of a Location Parameter Using
803
A Bayesian Proposal for the Analysis
821
Simplifying Complex Designs Bayes Linear
839
Graphical Diagnostics for the Bayes Linear
859
Copyright

Common terms and phrases

About the author (1999)

Jose M. Bernardo is at Universitat de Valencia. James O. Berger is at Duke University.

Bibliographic information