Bayesian Statistics 8
Published on 19. July 2007
Book
Hardback
688 pages
978-0-19-921465-5 (ISBN)
Description
The Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area of Bayesian Statistics to come together to present and discuss frontier developments in the field. Covering a broad range of applications and models, including genetics, computer vision and computation, the resulting proceedings provide a definitive, up-to-date overview encompassing a wide range of theoretical and applied research. This eighth proceedings includes edited and refereed versions of 20 invited papers plus extensive and in-depth discussion along with 19 extended four page abstracts of the best presentations offering a wide perspective of the developments in Bayesian statistics over the last four years.
Reviews / Votes
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. * Journal of the Royal Statistical Society * This volume will be of most use for the research-orientated investigator, or for a casual reader of Bayesian literature, both as stimulating to read and as a useful reference text. * Journal of the Royal Statistical Society * ... this collection provides an excellent overview of current research in Bayesian statistics ... Given the high quality of most papers in this volume, and the range of interesting applications, this is a must for academic libraries. I would advise researchers in Statistics, OR, and related fields to have a look at the volume, as it provides a fast overview of recent developments in Bayesian statistics. Some of the applications might also provide useful examples for teaching statistics at the postgraduate level. * Journal of the Operational Research Society *More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Dimensions
Height: 241 mm
Width: 165 mm
Thickness: 42 mm
Weight
1121 gr
ISBN-13
978-0-19-921465-5 (9780199214655)
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Schweitzer Classification
Content
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