Bayesian Statistics 3: Proceedings of the Third Valencia International Meeting, June 1-5, 1987.
Parthasarathy Bagchi, José M. Bernardo, Morris H. DeGroot, D. V. Lindley, A. F. M. Smith
Abstract
Parthasarathy Bagchi, José M. Bernardo, Morris H. DeGroot, D. V. Lindley, A. F. M. Smith
Abstract
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)
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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)
Key concepts: Statistics, Bayesian probability, Library science, Econometrics, Mathematics, Computer science