TY - BOOK AU - Upadhyay,Satyanshu K. AU - Singh,Umesh AU - Dey,Dipak K. AU - Loganathan,Appaia TI - Current trends in Bayesian methodology with applications SN - 9781482235111 U1 - 000SA.161 23 PY - 2015/// CY - Boca Raton PB - CRC Press KW - Bayesian statistical decision theory N1 - Includes bibliographical references and index; 1. Bayesian inference on the brain: Bayesian solutions to selected problems in neuroimaging -- 2. Forecasting Indian macroeconomic variables using medium-scale VAR models -- 3. Comparing proportions: a modern solution to a classical problem -- 4. Hamiltonian Monte Carlo for hierarchical models -- 5. On Bayesian spatio-temporal modelling of oceanographic climate characteristics -- 6. Sequential Bayesian inference for dynamic state space model parameters -- 7. Bayesian active contours with affine-invariant elastic shape prior -- 8. Bayesian semiparametric longitudianal data modeling using NI densities -- 9. Bayesian factor analysis based on concentration -- 10. Regional fertility data analysis: a small area Bayesian approach -- 11. In search of optimal objective priors for model selection and estimation -- 12. Bayesian variable selection for predicatively optimal regression -- 13. Salable subspace clustering with application to motion segmentation -- 14. Bayesian inference for logistic regression models using sequential posterior simulation -- 15. From risk analysis to adversarial risk analysis -- 16. Symmetric power link with ordinal response model -- 17. Elastic prior shape models of 3D objects for Bayesian images analysis -- 18. Multi-state models for disease natural history -- 19. Priors on hypergapghical models via simplicial complexes -- 20. A Bayesian uncertainty analysis for nonignorable nonresponse -- 21. Stochastic volatility and realized stochastic volatility models -- 22. Monte Carlo methods and zero variance principle -- 23. A flexible class of reduced rank spatial models for large non-gaussian dataset -- 24. A Bayesian reweighing technique for small area estimation -- 25. Empirical Bayes methods for the transformed gaussian random field model with additive measurement errors -- 26. Mixture kalman filters and beyond -- 27. Some aspects of Bayesian inference in skewed mixed logistic regression models -- 28. A Bayesian analysis of the solar cycle using multiple proxy variables -- 29. Fuzzy information, likelihood, Bayes' theorem, and engineering application -- 30.Bayesian parallel computation for intractable likelihood using Griddy-Gibbs sampler -- Index ER -