Current Trends in Bayesian Methodology with Applications

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 Modeling 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 Longitudinal 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 Predictively Optimal Regression
13. Scalable 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 Image Analysis
18. Multi-State Models for Disease Natural History
19. Priors on Hypergraphical 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 Reweighting 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