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Current trends in Bayesian methodology with applications / [edited by] Satyanshu Kumar Upadhyay...[et al.].

Contributor(s): Material type: TextTextPublication details: Boca Raton : CRC Press, ©2015.Description: xxxix, 640 p. : ill. ; 24 cmISBN:
  • 9781482235111
Subject(s): DDC classification:
  • 000SA.161 23 Up65
Contents:
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.
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Total holds: 0

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.

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