Bayesian Statistics 5
Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994
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A termék adatai:
- Kiadó OUP Oxford
- Megjelenés dátuma 1996. május 9.
- ISBN 9780198523567
- Kötéstípus Keménykötés
- Terjedelem826 oldal
- Méret 241x162x45 mm
- Súly 1195 g
- Nyelv angol
- Illusztrációk line figures, tables 0
Kategóriák
Rövid leírás:
The proceedings of The Valencia International Meeting on Bayesian Statistics (held every three years) provide an overview of this important and highly topical area in theoretical and applied statistics.
TöbbHosszú leírás:
The Valencia International Meetings on Bayesian Statistics, held every four years, provide the forum for researchers to come together 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 fifth Proceedings is no exception. In particular, it reflects a growing emphasis on computational issues, concerned with making Bayesian methods routinely available to applied practitioners, both statisticians and speciailists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities.
In the preface, the editors say that they believe that "the Proceedings provide a definitive, up-to-date overview of current concerns and activity in Bayesian statistics, encompassing a wide range of theoretical and applied research." I concur with their belief, and I eagerly await publication of the proceedings of the next Valencia meeting.
Tartalomjegyzék:
Invited Papers (with discussion)
Bayesian Questions and Answers in Queues
The Intrinsic Bayes Factor for Linear Models
Scientific Inference and Predictions: Multiplicities and Convincing Stories: A Case Study in Breast Cancer Therapy
Bayes Linear Strategies for Matching Hydrocarbon Reservoir History
Some New Tools for Dirichlet Priors
Predictive Cross-Validation of Bayesian Meta-Analyses
Bayesian Statistics and the Law
The Framing of Statistical Decision Theory: A Decision Analytic View
Efficient Parametrizations for Generalized Linear Mixed Models
Construction of Thematic Maps from Satellite Imagery
Local Sensitivity AnalysisP. Gustafson, C. Srinivasan, and L. Wasserman
Bayesian Histograms
Bayesian Approaches to Non- and Semiparametric Density Estimation
Testing for Mixtures: A Bayesian Entropic Approach
Hierarchical Models for Ranking and for Identifying Extremes, with Applications
Convergence of Markov Chain MonteCarlo Algorithms
Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance
Likelihood and Bayesian Approximation Methods
Statistical Aspects of Failure Processes in Ceramics
Plausible Bayesian Games
Computation on Bayesian Graphical Models
Approximate Bayesian Computation Based on Signed Roots of Log-Density Ratios
Support Theory: A Nonextensional Representation of Probability Judgment
Some Statistical Issues in Palaeoclimatology
Contributed Papers
A note on Histogram Approximation in Bayesian Density Estimation
Influence Diagrams under Partial Information
Mixtures, Bayes and Archaeology
On Bayes Factors for Nonparametric Alternatives
Proper Scoring Rules for Fractiles
Sequential Diagrams and Influence Diagrams: A Complementary Relationship for Modeling and Solving Decision Problems
A comparison of Sequential Learning Methods for Incomplete Data
Intrinsic Priors via Kullback-Leibler Geometry
Conditional External Bayesianity in Decomposable Influence Diagrams
Diagnostic Geometry for Bayes Linear Prediction Systems
Spherically Symmetric Bayes Estimators for a Linear Subspace of a Normal Law
Bayesian Analysis of Longitudinal Data Studies
Efficient Metropolis Jumping Rules
Variable Selection and Model Comparison in Regression
Learning in Graphical Gaussian Models
On Inference for Outputs of Computationally Expensive Algorithms with Uncertainty on the Inputs
Iterative Rescaling for Bayesian Quadrature
Hierarchical Modelling for Classifying Binary Data
A Bayes Decision-Theoretic Approach to Dimensionality Reduction in Screen Design
Robust Bayesian Analysis: An Interactive Approach
Adaptive Bayesian Replacement Strategies
Hierarchical Image Reconstruction Using Markov Randop Fields
A Belief Function Approach to Likelihood Updating in a Gaussian Linear Model
Bayesian Hierarchical Nonparametric Inference for Change-Point Problems
A Bayesian Analysis of Non-Stationary AR Series
A Bayesian Algorithm for Image Reconstruction with Variable Hyperparameter
Stochastic Deformable Temnplates and Object Tracking
Prior Beliefs About Fit
The Geometry of Bayesian Inference
Choosing an Appropriate Covariance Function in Bayesian Smoothing
Intrinsic Bayes Factors for Model Selection with Autoregressive Data
Bayes Factors, Nuisance Parameters and Imprecise Tests
Graphical Methods for Simulation-Based Bayesian Inference
Bayesian Approaches to the Population Modelling of a Monotonic Dose-Response Relation
Bayes Linear Adjustment for Variance Matrices
Models for Shape Deformation
On Improving a Model for Combining Experts' Forecasts
