Bayesian Statistics: 3rd

Part 1 Invited papers: de Finetti's approach to group decision making; the future of statistics - teaching and research; gaining weight - a Bayesian approach; ranges of posterior probablities for unimodal priors with specified quantiles; a Bayesian analysis of simple mixture problems; multiple comparisons, multiple tests and data dredging; the infinite regress and its conjugate analysis; recent progress on de Finetti's notions of exchangeability; a Bayesian model and a graphical elicitation procedure for multiple comparisons; the future of statistics in retrospect; experiments in Bayesian image analysis; software for Bayesian analysis - current status and additional needs; the data trajectory; de Finetti's theorem, induction and A(n) or Bayesian nonparametric predictive inference; Bayesian palaeoethnobotany; asymptotics in Bayesian computation; stochastic models of incarceration careers; statistical inference concerning Hardy-Weinberg equilibrium; approximating posterior distributions; modelling with heavy tails; on being imprecise at the higher levels of a hierarchical linear model; robust Bayesian analysis in hierarchical models; using the SIR algorithm to simulate posterior distributions; robustness in generalized ridge regression and related topics; aspects of numerical integration and summarization; what should be Bayesian about Bayesian software?; to weight or not to weight, that is the question; Bayesian approaches to clinical trials; partial and interaction spline models; modelling expert opinion; a Bayesian era. Part 2 Contributed papers: Bayesian estimation of Poisson means, using a hierarchical log-linear model; Bayesian analysis of a pure birth process with linear birth rate; Bayesian regression analysis under non-normal errors; on Kolmogorov's partial sufficiency; invariance and Bayesian predictive analysis with an application to diallel cross design; on differentiability properties of Bayes operators; parametric estimation with distance; choosing a quality supplier, a Bayesian approach; global versus local screening; estimated public welfare quality control - error rates and penalties; iterative procedures for continuous Bayesian designs; a report on continuity of uncertainty functions; a Bayesian approach to the analysis of LD50 experiments; outliers and influence - evaluation by posteriors of parameters in the linear model; combining opinions in a predictive case; Bayesian estimation of the variance components in a general random linear model; a heteroscedastic hierarchical model; algorithmic diagnosis of appendicitis using Bayes' theorem and logistic regression; prior and posterior tail comparisons. (Part contents)