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Bayesian Statistics 7 Proceedings of the Seventh Valencia International Meeting

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ISBN-10: 0198526156

ISBN-13: 9780198526155

Edition: 2003

Authors: J. M. Bernardo, M. J. Bayarri, A. P. Dawid, J. O. Berger, D. Heckerman

List price: $265.00
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The Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area of Bayesian Statistics 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 seventh Proceedings containing 23 invited articles and 31 contributed papers is no exception, and will be an indispensable reference to all statisticians.
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Book details

List price: $265.00
Copyright year: 2003
Publisher: Oxford University Press, Incorporated
Publication date: 9/11/2003
Binding: Hardcover
Pages: 764
Size: 6.14" wide x 9.21" long x 1.72" tall
Weight: 2.596
Language: English

Invited Papers (with discussion)
Bayesian Inference for Elliptical Linear Models: Conjugate Analysis and Model Comparison
Hierarchical Bayesian Models for Applications in Information Retrieval
Hierarchical Multivariate CAR Models for Spatio-Temporally Correlated Survival Data
On Inferring Effects of Binary Treatments with Unobserved Confounders
Bayesian Treed Generalized Linear Models
Bayesian Harmonic Models for Musical Signal Analysis
Assessing the Risk of Disclosure of Confidential Categorical Data
Bayesian and Frequentist Multiple Testing
Nonparametric Inference for Mixed Poisson Processes
Markov Chain Monte Carlo-based Approaches for Inference in Computationally Intensive Inverse Problems
A Hierarchical Model for Estimating the Reliability of Complex Systems
Rasch Models with Exchangeable Rows and Columns
Discrimination Based on an Odds Ratio Parameterization
Bayesian Clustering with Variable and Transformation Selections
IID Sampling using Self-Avoiding Population Monte Carlo: The Pinball Sampler
A Statistical Approach to Modelling Genomic Aberrations in Cancer Cells
Non-Centered Parameterizations for Hierarchical Models and Data Augmentation
Identifying Mixtures of Regression Equations by the SAR procedure
Global Gambling
New Tools for Consistency in Bayesian Nonparametrics
Measures of Incoherence: How not to Gamble if you Must
A Nonparametric Bayesian Approach to Inverse Problems
A Novel Framework for Tracking Groups of Objects
Contributed Papers
Bayesian Modelling of Hospital Bed Occupancy Times using a Mixed Generalized Erlang Distribution
The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures
Intrinsic Estimation
Robust Analysis of Salamander Data, Generalized Linear Model with Random Effects
A Relationship Between Randomized Manipulation and Parameter Independence
Markov Random Field Extensions using State Space Models
Bayesian Estimation of the Grade of Membership Model
A Variant Version of the Polya-Eggenberger Urn Model
Multi-scale Modelling of 1-D Permeability Fields
Direct Bayes for Interest Parameters
Dynamic Lattice-Markov Spatio-Temporal Models for Environmental Data
Lymphoscintigraphy of Upper Limbs: A Bayesian Framework
Bayesian Analysis of Matched Pairs in the Presence of Covariates
State Space Models for Density Dependence in Population Ecology
A Marginal Ergodic Theorem
Exact Bayesian Inference for a Class of Nonlinear Systems with Application to Robotic Assembly
Compatible Priors for Causal Bayesian Networks
On the Application of Logistic Regression Modelling in Microarray Studies
Density Modelling and Clustering Using Dirichlet Diffusion Trees
Outlier Robust Estimation of a Finite Population Total
Bayesian Inference for Derivative Prices
Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals
Objective Bayesian Comparison of Laplace Samples from Geophysical Data
The Markov Modulated Poisson Process and Markov Poisson Cascade with Applications to Web Traffic Modelling
Modelling Bivariate Extremes in a Region
Bayesian Object Matching with Hierarchical Priors and Markov Chain Monte Carlo
Expected Utility Estimation via Cross-Validation
A Method for Sequential Optimization in Bayesian Analysis
Modelling Gene Expression Data over Time: Curve Clustering with Informative Prior Distributions
Bayesian Factor Regression Models in the "Large p, Small n" Paradigm
A Bayesian Analysis of Smooth Transitions in Trend