图书简介

I. INVITED PAPERS (With discussion); Bayesian Inference on Latent Structure in Time Series; Information Theory and the Risk of Bayes Procedures; Quantifying Surprise in the Data and Model Verification; Bayesian Methods in the Atmospheric Sciences; Nested Hypothesis Testing: The Bayesian Reference Criterion; Bayesian Models for Spatially Correlated Disease and Exposure Data; Bayesian Model Averaging and Model Search Strategies; Hierarchical Models for DNA Profiling Using Heterogeneous Databases; On the Dangers of Modelling Through Continuous Distributions: A Bayesian Perspective; Bayesian Methods in Signal and Image Processing; Functional Magnetic Resonance Imaging and Spatio-Temporal Inference; Simulation Methods for Model Criticism and Robustness Analysis; Exact Sampling for Bayesian Inference: Towards General Purpose Algorithms; Spatial Regression for Marked Point Processes; Bayesian Model Choice: What and Why?; Another Look at Conditionally Gaussian Markov Random Fields; Simulated Sintering: Markov Chain Monte Carlo With Spaces of Varying Dimensions; Markov Chain Monte Carlo Convergence Diagnostics: A Review; Issues in Service Quality Modelling; Simulation-Based Optimal Design; Regression and Classification Using Gaussian Process Priors; Uncertainy Analysis and other Inference Tools for Complex Computer Codes; Decision Models in Screening for Breast Cancer; Time-Varying Covariances: a Factor Stochastic Volatility Approach; Old and Recent Results on the Relationship Between Predictive Inference and Statistical Modelling either in Nonparametric or Parametric Form; Bayesian and Frequentist Approaches to Parametric Predictive Inference; Inference-Robust Institutional Comparisons: A Case Study of School Examination Results; Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models; Spatial Dependence and Errors-in-Variables in Environmental Epidemiology; Robustifying Bayesian Procedures; II. CONTRIBUTED PAPERS; Pearson Type II Errors-in-Variables Models; Bayesian Analysis of Animal Abundance Data via MCMC; Convergence Assessment for Reversible Jump MCMC Simulations; Fixed-Lag Smoothing using Sequential Importance Sampling; The Nile Revisited: Changepoint Analysis with Autocorrelation; Non-Stationary Spatial Modelling; Bayesian Wavelet Analysis with a Model Complexity Prior; Bayesian Analysis of Cepheid Variable Data; A Bayesian Analysis of Stochastic Unit Root Models; Optimal Design for Quantal Bioassay via Monte Carlo Methods; Bayesian Estimation of a Location Parameter Using the Haar Basis; On the Different Structures of Posterior Distributions with Respect to the Prior Distribution; A Bayesian Proposal for the Analysis of Stationary and Nonstationary AR(1) Time Series; Bayes Sequential Decision Theory in Clinical Trials; Simplifying Complex Designs: Bayes Linear Experimental Design for Grouped Multivariate Exchangeable systems; Extremes of Mixed Environmental Processes; Graphical Diagnostics for the Bayes Linear Analysis of Hierarchical Linear Models with Applications to Educational Data

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