Bayesian statistics 9 : proceedings of the Ninth Valencia International Meeting, June 3-8, 2010
José M. Bernardo
Abstract
José M. Bernardo
Abstract
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
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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
Key concepts: Variable-order Bayesian network, Bayesian average, Marginal likelihood, Bayesian probability, Bayesian inference, Bayes factor, Bayesian linear regression, Bayesian hierarchical modeling