Bayesian Statistics 7 Proceedings of the Seventh Valencia International Meeting,9780198526155

Bayesian Statistics 7 Proceedings of the Seventh Valencia International Meeting

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ISBN13: 9780198526155
ISBN10: 0198526156
Format: Hardcover
Pub. Date: 2003-09-11
Publisher(s): Oxford University Press
List Price: $282.66

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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 of Bayesian Statistics to come together to present and discuss frontier developments in the field. The resulting Proceedings provide a definitive, up-to-dateoverview encompassing a wide range of theoretical and applied research. This seventh Proceedings containing 23 invited articles and 31 contributed papers is no exception, and will be an indispensable reference to all statisticians.

Table of Contents

I. INVITED PAPERS (with discussion)
Bayesian Inference for Elliptical Linear Models: Conjugate Analysis and Model Comparison
3(22)
Arellano-Valle R. B.
Iglesias, P. L.
Vidal I.
Hierarchical Bayesian Models for Applications in Information Retrieval
25(20)
Blei, D. M.
Jordan, M. I.
Ng, A. Y.
Hierarchical Multivariate CAR Models for Spatio-Temporally Correlated Survival Data
45(20)
Carlin, B. P.
Banerjee, S.
On Inferring Effects of Binary Treatments with Unobserved Confounders
65(20)
Chib, S.
Bayesian Treed Generalized Linear Models
85(20)
Chipman, H. A.
George, E. I.
McCulloch, R. E.
Bayesian Harmonic Models for Musical Signal Analysis
105(20)
Davy, M.
Godsill, S. J.
Assessing the Risk of Disclosure of Confidential Categorical Data
125(20)
Dobra, A.
Fienberg, S. E.
Trottini, M.
Bayesian and Frequentist Multiple Testing
145(18)
Genovese, C.
Wasserman, L.
Nonparametric Inference for Mixed Poisson Processes
163(18)
Gutierrez-Pena, E.
Nieto-Barajas, L.E.
Markov Chain Monte Carlo-based Approaches for Inference in Computationally Intensive Inverse Problems
181(18)
Higdon, D.
Lee, H.
Holloman, C.
A Hierarchical Model for Estimating the Reliability of Complex Systems
199(16)
Johnson, V. E.
Graves, T. L.
Hamada, M. S.
Shane Reese, C.
Rasch Models with Exchangeable Rows and Columns
215(18)
Lauritzen, S. L.
Discrimination Based on an Odds Ratio Parameterization
233(16)
van der Linde, A.
Osius, G.
Bayesian Clustering with Variable and Transformation Selections
249(28)
Liu, J. S.
Zhang, J. L.
Palumbo, M. J.
Lawrence, C. E.
IID Sampling using Self-Avoiding Population Monte Carlo: The Pinball Sampler
277(16)
Mengersen, K. L.
Robert, C. P.
A Statistical Approach to Modelling Genomic Aberrations in Cancer Cells
293(14)
Newton, M. A.
Yang H.
Gorman, P.
Tomlinson, I.
Roylance, R.
Non-Centered Parameterizations for Hierarchical Models and Data Augmentation
307(20)
Papaspiliopoulos, O.
Roberts, G. O.
Skold, M.
Identifying Mixtures of Regression Equations by the SAR procedure
327(22)
Pena, D.
Rodriguez, J.
Tiao, G. C.
Global Gambling
349(20)
Quintana, J. M.
Lourdes V.
Aguilar, O.
Liu, J.
New Tools for Consistency in Bayesian Nonparametrics
369(16)
Salinetti, G.
Measures of Incoherence: How not to Gamble if you Must
385(18)
Schervish, M. J.
Seidenfeld T.
Kadane, J. B.
A Nonparametric Bayesian Approach to Inverse Problems
403(16)
Wolpert, R. L.
Ickstadt, K.
Hansen, M. B.
A Novel Framework for Tracking Groups of Objects
419(24)
Zohar, R.
Geiger, D.
II. CONTRIBUTED PAPERS
Bayesian Modelling of Hospital Bed Occupancy Times using a Mixed Generalized Erlang Distribution
443(10)
Ausin, M. C.
Lillo, R. E.
Ruggeri, F.
Wiper, M. P.
The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures
453(12)
Beal, M. J.
Ghahramani, Z.
Intrinsic Estimation
465(12)
Bernardo, J. M.
Juarez, M. A.
Robust Analysis of Salamander Data, Generalized Linear Model with Random Effects
477(8)
Choy, S. T. B.
Chan, J. S. K.
Yam, C. H. K.
A Relationship Between Randomized Manipulation and Parameter Independence
485(8)
Daneshkhah, A.
Smith, J. Q.
Markov Random Field Extensions using State Space Models
493(8)
Dethlefsen, C.
Bayesian Estimation of the Grade of Membership Model
501(10)
Erosheva, E. A.
A Variant Version of the Polya-Eggenberger Urn Model
511(8)
Esteves, L. G.
Wechsler, S.
Iglesias, P. L.
Pereira, A. L.
Multi-scale Modelling of I-D Permeability Fields
519(10)
Ferreira, M. A. R.
West, M.
Lee, H. K. H.
Higdon, D.
Bi, Z.
Direct Bayes for Interest Parameters
529(6)
Fraser, D. A. S.
Reid, N.
Wong, A.
Yi, G. Y.
Dynamic Lattice-Markov Spatio-Temporal Models for Environmental Data
535(8)
Garside, L. M.
Wilkinson, D. J.
Lymphoscintigraphy of Upper Limbs: A Bayesian Framework
543(10)
Gebousky, P.
Karny, M.
Quinn, A.
Bayesian Analysis of Matched Pairs in the Presence of Covariates
553(12)
Giron, F. J.
Martinez, M. L.
Moreno, E.
Torres, F.
State Space Models for Density Dependence in Population Ecology
565(12)
Jamieson, L. E.
Brooks, S. P.
A Marginal Ergodic Theorem
577(10)
Lavine, M.
Exact Bayesian Inference for a Class of Nonlinear Systems with Application to Robotic Assembly
587(10)
Lefebvre, T.
Gadeyne, K.
Bruyninckx, H.
De Schutter, J.
Compatible Priors for Causal Bayesian Networks
597(10)
Leucari, V.
Consonni, G.
On the Application of Logistic Regression Modelling in Microarray Studies
607(12)
Mertens, B. J. A.
Density Modelling and Clustering Using Dirichlet Diffusion Trees
619(12)
Neal, R. M.
Outlier Robust Estimation of a Finite Population Total
631(10)
Pettit, L. I.
Sugden, R. A.
Bayesian Inference for Derivative Prices
641(10)
Polson, N. G.
Stroud, J. R.
Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals
651(10)
Rasmussen, C. E.
Objective Bayesian Comparison of Laplace Samples from Geophysical Data
661(10)
Rodriguez, A.
Alvarez, G.
Sanso, B.
The Markov Modulated Poisson Process and Markov Poisson Cascade with Applications to Web Traffic Modelling
671(10)
Scott, S. L.
Smyth, P.
Modelling Bivariate Extremes in a Region
681(10)
Smith, E. L.
Walshaw, D.
Bayesian Object Matching with Hierarchical Priors and Markov Chain Monte Carlo
691(10)
Tamminen, T.
Lampinen, J.
Expected Utility Estimation via Cross-Validation
701(10)
Vehtari, A.
Lampinen, J.
A Method for Sequential Optimization in Bayesian Analysis
711(10)
Virto, M.
Martin, J.
Rios Insua, D.
Moreno Diaz, A.
Modelling Gene Expression Data over Time: Curve Clustering with Informative Prior Distributions
721(12)
Wakefield, J. C.
Zhou, C.
Self, S. G.
Bayesian Factor Regression Models in the ``Large p. Small n'' Paradigm
733(10)
West, M.
A Bayesian Analysis of Smooth Transitions in Trend
743
Zheng, P.
Marriott, J. M.

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