Bayesian Statistics 6 Proceedings of the Sixth Valencia International Meeting

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Format: Hardcover
Pub. Date: 1999-10-28
Publisher(s): Clarendon Press
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Summary

The Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area to come together to 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.

Table of Contents

Invited Papers (with discussion)
Bayesian Inference on Latent Structure in Time Series
3(24)
Aguilar, O.
Huerta, G.
Prado, R.
West, M.
Information Theory and the Risk of Bayes Procedures
27(26)
Barron, A.R.
Quantifying Surprise in the Data and Model Verification
53(30)
Bayarri, M.J.
Berger, J.O.
Bayesian Methods in the Atmospheric Sciences
83(18)
Berliner, L.M.
Royle, J.A.
Wikle, C.K.
Milliff, R.F.
Nested Hypothesis Testing: The Bayesian Reference Criterion
101(30)
Bernardo, J.M.
Bayesian Models for Spatially Correlated Disease and Exposure Data
131(26)
Best, N.G.
Arnold, R.A.
Thomas, A.
Waller, L.A.
Conlon, E.M.
Bayesian Model Averaging and Model Search Strategies
157(30)
Clyde, M.A.
Hierachical Models for DNA Profiling Using Heterogeneous Databases
187(26)
Dawid, A.P.
Pueschel, J.
On the Dangers of Modelling Through Continuous Distributions: A Bayesian Perspective
213(26)
Fernandez, C.
Steel, M.F.J.
Bayesian Methods in Signal and Image Processing
239(16)
Fitzgerald, W.J.
Godsill, S.J.
Kokaram, A.C.
Stark, J.A.
Functional Magnetic Resonance Imaging and Spatio-Temporal Inference
255(20)
Genovese, C.R.
Simulation Methods for Model Criticism and Robustness Analysis
275(26)
Geweke, J.
Exact Sampling for Bayesian Inference: Towards General Purpose Algorithms
301(22)
Green, P.J.
Murdoch, D.J.
Spatial Regression for Marked Point Processes
323(20)
Ickstadt, K.
Wolpert, R.L.
Bayesian Model Choice: What and Why?
343(28)
Key, J.T.
Pericchi, L.R.
Smith, A.F.M.
Another Look at Conditionally Gaussian Markov Random Fields
371(18)
Lavine, M.
Simulated Sintering: Markov Chain Monte Carlo with Spaces of Varying Dimensions
389(26)
Liu, J.S.
Sabatti, C.
MCMC Convergence Diagnostics: A Reviewww
415(26)
Mengersen, K.L.
Robert, C.P.
Guihenneuc-Jouyaux, Ch.
Issues in Service Quality Modelling
441(18)
Moreno, A.
Rios-Insua, D.
Simulation-Based Optimal Design
459(16)
Muller, P.
Regression and Classification Using Gaussian Process Priors
475(28)
Neal, R.M.
Uncertainty Analysis and other Inference Tools for Complex Computer Codes
503(22)
O'Hagan, A.
Kennedy, M.C.
Oakley, J.E.
Decision Models In Screening For Breast Cancer
525(22)
Parmigiani, G.
Time-Varying Covariances: A Factor Stochastic Volatility Approach
547(24)
Pitt, M.K.
Shephard, N.
Old and Recent Results on the Relationship Between Predictive Inference and Statistical Modelling either in Nonparametric or Parametric Form
571(18)
Regazzini, E.
Bayesian and Frequentist Approaches to Parametric Predictive Inference
589(24)
Smith, R.L.
Inference-Robust Institutional Comparisons: A Case Study of School Examination Results
613(18)
Spiegelhalter, D.J.
Marshall, E.C.
Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models
631(26)
Thiesson, B.
Meek, C.
Chickering, D.M.
Heckerman, D.
Spatial Dependence and Errors-in-Variables in Environmental Epidemiology
657(28)
Wakefield, J.
Morris, S.
Robustifying Bayesian Procedures
685(28)
Walker, S.G.
Gutierrez-Pena, E.
Contributed Papers
Pearson Type II Errors-in-Variables Models
713(10)
Bolfarine, H.
Gasco, L.
Iglesias, P.
Bayesian Analysis of Animal Abundance Data via MCMC
723(10)
Brooks, S.P.
Convergence Assessment for Reversible Jump MCMC Simulations
733(10)
Brooks, S.P.
Giudici, P.
Fixed-Lag Smoothing using Sequential Importance Sampling
743(10)
Clapp, T.C.
Godsill, S.J.
The Nile Revisited: Changepoint Analysis with Autocorrelation
753(8)
Garisch, I.
Groenewald, P.C.N.
Non-Stationary Spatial Modeling
761(8)
Higdon, D.
Swall, J.
Kern, J.
Bayesian Wavelet Analysis with a Model Complexity Prior
769(8)
Holmes, C.C.
Dension, D.G.T.
Bayesian Analysis of Cepheid Variable Data
777(8)
Jefferys, W.H.
Barnes, T.G.
A Bayesian Analysis of Stochastic Unit Root Models
785(10)
Jones, C.R.
Marriott, J.M.
Optimal Design for Quantal Bioassay via Monte Carlo Methods
795(8)
Kuo, L.
Soyer, R.
Wang, F.
Bayesian Estimation of a Location Parameter Using the Haar Basis
803(10)
Leblane, A.
Angers, J.-F.
On the Different Structures of Posterior Distributions with Respect to the Prior Distribution
813(8)
Macci, C.
A Bayesian Proposal for the Analysis of Stationary and Nonstationary AR(1) Time Series
821(8)
Marinucci, D.
Petrella, L.
Bayes Sequential Decision Theory in Clinical Trials
829(10)
Qian, W.
Brown, P.J.
Simplifying Complex Designs: Bayes Linear Experimental Design for Grouped Multivariate Exchangeable Systems
839(10)
Shaw, S.C.
Goldstein, M.
Extremes of Mixed Environmental Processes
849(10)
Walshaw, D.
Graphical Diagnostics for the Bayes Linear Analysis of Hierarchical Linear Models with Applications to Educational Data
859
Williams, D.R.
Goldstein, M.

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