J.M. Bernardo / M.J. Bayarri / J.O. Berger / A.P. Dawid / D. Heckerman / A.F.M. Smith / M. West (eds.)

Bayesian Statistics 8: Proceedings of the English Valencia International Meeting

Herausgeber: Bernardo, J. M.; Berger, J. O.; Bayarri, M. J.

• Gebundenes Buch

Produktbeschreibung

The Valencia International Meetings on Bayesian Statistics provide the main forum for researchers in Bayesian Statistics. This eighth proceedings offers the reader a wide perspective of the developments in Bayesian statistics over the last four years.

Produktdetails

• Verlag: Hurst & Co.
• Seitenzahl: 686
• Erscheinungstermin: September 2007
• Englisch
• Abmessung: 238mm x 165mm x 42mm
• Gewicht: 1120g
• ISBN-13: 9780199214655
• ISBN-10: 0199214654
• Artikelnr.: 22939820

Inhaltsangabe

* 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 * Møller, 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