Current trends in Bayesian methodology with applications / [edited by] Satyanshu Kumar Upadhyay...[et al.].
Material type: TextPublication details: Boca Raton : CRC Press, ©2015.Description: xxxix, 640 p. : ill. ; 24 cmISBN:- 9781482235111
- 000SA.161 23 Up65
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 000SA.161 Up65 (Browse shelf(Opens below)) | Checked out | 29/10/2023 | 136956 |
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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