Bayesian Statistics 8

Review from previous edition ... this book presents a uniquely excellent overview of some of the most relevant and pressing current issues underlying research in Bayesian statistics today. That such a definitive and all-encompassing presentation of a wide range of current concerns is fused in a single volume is by any measure its primary attraction. The format has additional appeal given the conference organizers' well-judged decision to encourage contributed discussion for the invited papers. This is particularly useful in bringing the most salient points to the forefront of the readers' attention.

• Generative or Discriminative? Getting the Best of Both Worlds ; Assessing the Effect of Genetic Mutation - A Bayesian Framework for Determining Population History from DNA Sequence Data ; Some Aspects of Bayesian Model Selection for Prediction ; Nonparametric Function Estimation Using Overcomplete Dictionaries ; Sequential Monte Carlo for Bayesian Computation ; Dynamic Gaussian Process Priors, with Applications to The Analysis of Space-time Data ; Bayesian Nonparametric Modelling for Spatial Data Using Dirichlet Processes ; Bayesian Nonparametric Latent Feature Models ; Objective Bayesian Analysis of Multiple Changepoints for Linear Models ; Bayesian Relaxation: Boosting, The Lasso, and other L norms ; The Bayesian Approach to the Analysis of Finite Population Surveys ; Detecting selection in DNA sequences: Bayesian Modelling and Inference ; Deriving Bayesian and frequentist estimators from time-invariance estimating equations: a unifying approach ; FDR and Bayesian Multiple Comparisons Rules ; Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity. ; Approximating Interval Hypothesis: p-values and Bayes Factors ; Bayesian Probability in Quantum Mechanics ; Fast Bayesian Shape Matching Using Geometric Algorithms ; Nested Sampling for Bayesian Computations ; Objective Bayesian Analysis for the Multivariate Normal Model ; CONTRIBUTED PAPERS ; Almeida, C. and Mouchart, M.: Bayesian Encompassing Specification Test Under Not Completely Known Partial Observability ; Bernardo, J. M. and P'erez, S.: Comparing Normal Means: New Methods for an Old Problem ; Cano, J. A., Kessler, M. and Salmer'on, D.: Integral Priors for the One Way Random Effects Model ; Carvalho, C. M. and West, M.: Dynamic Matrix-Variate Graphical Models ; Cowell, R. G., Lauritzen, S.L. and Mortera, J.: A Gamma Model for DNA Mixture Analyses ; Denham, R. J. and Mengersen, K.: Geographically Assisted Elicitation of Expert Opinion for Regression Models ; Duki'c, V. and Dignam, J.: Hierarchical Multiresolution Hazard Model for Breast Cancer Recurrence ; Hutter, M.: Bayesian Regression of Piecewise Constant Functions ; Jirsa, J., Quinn, A. and Varga, F.: Identification of Thyroid Gland Activity in Radiotherapy. ; Kokolakis, G. and Kouvaras, G.: Partial Convexification of Random Probability Measures ; Ma, H. and Carlin, B. P.: Bayesian Multivariate Areal Wombling ; Madrigal, A. M.: Cluster Allocation Design Networks ; Mertens, B. J. A.: Logistic Regression Modelling of Proteomic Mass Spectra in a Case-Control Study on Diagnosis for Colon Cancer ; Moller, J. and Mengersen, K.: Ergodic Averages Via Dominating Processes ; Perugia, M.: Bayesian Model Diagnostics Based on Artificial Autoregressive Errors ; Short, M. B., Higdon, D. M. and Kronberg, P. P.: Estimation of Faraday Rotation Measures of the Near Galactic Sky, Using Gaussian Process Models ; Spitzner, D. J.: An Asymptotic Viewpoint on High-Dimensional Bayesian Testing ; Wallstrom, T. C.: The Marginalization Paradox and Probability Limits Xing, E. P. and Sohn, K.-A.: A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space