A Chapman and Hall book--title page.

1. Bayesian inference on the Brain : Bayesian solutions to selected problems in neuroimaging / John A.D. Aston and Adam M. Johansen -- 2. Forecasting Indian macroeconomic variables using medium-scale VAR models / Goodness C. Aye, Pami Dua, and Rangan Gupta -- 3. Comparing proportions : a modern solution to a classical problem / Jose M. Bernardo -- 4. Hamiltonian Monte Carlo for hierarchical models / Michael Betancourt and Mark Girolami -- 5. On Bayesian spatio-temporal modeling of oceanographic climate characteristics / Madhuchhanda Bhattacharjee and Snigdhansu Chatterjee -- 6. Sequential Bayesian inference for dynamic state space model parameters / Arnab Bhattacharya and Simon Wilson -- 7. Bayesian active contours with affine-invariant elastic shape prior / Darshan Bryner and Anuj Srivastava -- 8. Bayesian semiparametric longitudinal data modeling using NI densities / Luis M. Castro, Victor H. Lachos, Diana M. Galvis, and Dipankar Bandyopadhyay -- 9. Bayesian factor analysis based on concentration / Yun Cao, Michael Evans, and Irwin Guttman -- 10. Regional fertility data analysis : a small area Bayesian approach / Eduardo A. Castro, Zhen Zhang, Arnab Bhattacharjee, Jose M. Martins, and Tapabrata Maiti -- 11. In search of optimal objective priors for model selection and estimation / Jyotishka Datta and Jayanta K. Ghosh -- 12. Bayesian variable selection for predictively optimal regression / Tanujit Dey and Ernest Fokoue -- 13. Scalable subspace clustering with application to motion segmentation / Liangjing Ding and Adrian Barbu -- 14. Bayesian inference for logistic regression models using sequential posterior simulation / John Geweke, Garland Durham, and Huaxin Xu -- 15. From risk analysis to adversarial risk analysis / David Rios Insua, Javier Cano, Michael Pellot, and Ricardo Ortega -- 16. Symmetric power link with ordinal response model / Xun Jiang and Dipak K. Dey -- 17. Elastic prior shape models of 3D objects for Bayesian image analysis / Sebastian Kurtek and Qian Xie -- 18. Multi-state models for disease natural history / Amy E. Laird, Rebecca A. Hubbard, and Lurdes Y.T. Inoue -- 19. Priors on hypergraphical models via simplicial complexes / Simon Lunagomez, Sayan Mukherjee, and Robert Wolpert -- 20. A Bayesian uncertainty analysis for nonignorable nonresponse / Balgobin Nandram and Namkyo Woo --

21. Stochastic volatility and realized stochastic volatility models / Yasuhiro Omori and Toshiaki Watanabe -- 22. Monte Carlo methods and zero variance principle / Theodore Papamarkou, Antonietta Mira, and Mark Girolami -- 23. A flexible class of reduced rank spatial models for large non-Gaussian dataset / Rijib Paul, Casey M. Jelsema, and Kwok Wai Lau -- 24. A Bayesian reweighting technique for small area estimation / Azizur Rahman and Satyanshu K. Upadhyay -- 25. Empirical Bayes methods for transformed Gaussian random field model with additive measurement errors / Vivekananda Roy, Evangelos Evangelou, and Zhengyuan Zhu -- 26. Mixture Kalman filters and beyond / Saikat Saha, Gustaf Hendeby, and Fredrik Gustafsson -- 27. Some aspects of Bayesian inference in skewed mixed logistic regression models / Cristiano C. Santos and Rosangela H. Loschi -- 28. A Bayesian analysis of the solar cycle using multiple proxy variables / David C. Stenning, David A. van Dyk, Yaming Yu, and Vinay Kashyap -- 29. Fuzzy information, likelihood, Bayes' theorem, and engineering application / Reinhard Viertl and Owat Sunanta -- 30. Bayesian parallel computational for intractable likelihood using griddy-gibbs sampler / Nuttanan Wichitaksorn and S.T. Boris Choy.