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Bayesian statistics 9. Bernardo, José M. Bernardo, M.J. Bayarri and J.O. Berger

Author: Valencia International Meeting on Bayesian Statistics (9th)
Publisher: Oxford : Oxford University Press, 2011.
Edition/Format:   Print book : English
Summary:

Bayesian Statistics 9 covers the latest and last of the Valencia International Meetings on Bayesian Statistics. These proceedings include twenty-three edited and refereed paper followed by extensive  Read more...

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Document Type: Book
All Authors / Contributors: Valencia International Meeting on Bayesian Statistics (9th)
ISBN: 0199694583 9780199694587
OCLC Number: 789031144
Description: 712 pages : illustrations ; 24 cm
Contents: 1. Integrated Objective Bayesian Estimation and Hypothesis Testing ; 2. Dynamic Stock Selection Strategies: A Structured Factor Model Framework ; 3. Free Energy Sequential Monte Carlo, Application to Mixture Modelling ; 4. Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs ; 5. Nonparametric Bayes Regression and Classification Through Mixtures of Product Kernels ; 6. Bayesian Variable Selection for Random Intercept Modeling of Gaussian and non-Gaussian Data. ; 7. External Bayesian Analysis for Computer Simulators ; 8. Optimization Under Unknown Constraints ; 9. Using TPA for Bayesian Inference ; 10. Nonparametric Bayesian Networks ; 11. Particle Learning for Sequential Bayesian Computation ; 12. Rotating Stars and Revolving Planets: Bayesian Exploration of the Pulsating Sky ; 13. Association Tests that Accommodate Genotyping Uncertainty ; 14. Bayesian Methods in Pharmacovigilance ; 15. Approximating Max-Sum-Product Problems using Multiplicative Error Bounds ; 16. What's the H in H-likelihood: A Holy Grail or an Achilles' Heel? ; 17. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction ; 18. Bayesian Models for Sparse Regression Analysis of High Dimensional Data ; 19. Transparent Parametrizations of Models for Potential Outcomes ; 20. Modelling Multivariate Counts Varying Continuously in Space ; 21. Characterizing Uncertainty of Future Climate Change Projections using Hierarchical Bayesian Models ; 22. Bayesian Models for Variable Selection that Incorporate Biological Information ; 23. Parameter Inference for Stochastic Kinetic Models of Bacterial Gene Regulation: A Bayesian Approach to Systems Biology
Responsibility: editors, José M. Bernardo, M.J. Bayarri and J.O. Berger.

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... 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 Read more...

 
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