1: Integrated Objective Bayesian Estimation and Hypothesis Testing, J. M. Bernardo
2: Dynamic Stock Selection Strategies: A Structured Factor Model Framework, C. M. Carvalho, H. F. Lopes, O. Aguilar
3: Free Energy Sequential Monte Carlo, Application to Mixture Modelling, Chopin, N. and Jacob, P.
4: Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs, Consonni G. and La Rocca, L.
5: Nonparametric Bayes Regression and Classification Through Mixtures of Product Kernels, Dunson, D. B. and Bhattacharya, A.
6: Bayesian Variable Selection for Random Intercept Modeling of Gaussian and non-Gaussian Data., Frühwirth-Schnatter, S. and Wagner, H.
7: External Bayesian Analysis for Computer Simulators, Goldstein, M.
8: Optimization Under Unknown Constraints, Gramacy, R. B. and Lee, H. K. H.
9: Using TPA for Bayesian Inference, Huber, M. and Schott, S.
10: Nonparametric Bayesian Networks, Ickstadt, K., Bornkamp, B., Grzegorczyk, M., Wiecorek, J., Sherriff, M. R., Grecco, H. E. and Zamir, E.
11: Particle Learning for Sequential Bayesian Computation, Lopes, H. F., Carvalho, C. M., Johannes, M. S. and Polson, N. G.
12: Rotating Stars and Revolving Planets: Bayesian Exploration of the Pulsating Sky, Loredo, T. J.
13: Association Tests that Accommodate Genotyping Uncertainty, Louis, T. A., Carvalho, B. S., Fallin, M. D., Irizarryi, R. A., Li, Q. and Ruczinski, I.
14: Bayesian Methods in Pharmacovigilance, Madigan, D., Ryan, P., Simpson, S. and Zorych, I.
15: Approximating Max-Sum-Product Problems using Multiplicative Error Bounds, Meek, C. and Wexler, Y.
16: What's the H in H-likelihood: A Holy Grail or an Achilles' Heel?, Meng, X.-L.
17: Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction, Polson, N. G. and Scott, J. G.
18: Bayesian Models for Sparse Regression Analysis of High Dimensional Data, Richardson, S., Bottolo, L. and Rosenthal, J. S.
19: Transparent Parametrizations of Models for Potential Outcomes, Richardson, T. S., Evans, R. J. and Robins, J. M.
20: Modelling Multivariate Counts Varying Continuously in Space, Schmidt, A. M. and Rodríguez, M. A.
21: Characterizing Uncertainty of Future Climate Change Projections using Hierarchical Bayesian Models, Tebaldi, C., Sansó, B. and Smith, R. L.
22: Bayesian Models for Variable Selection that Incorporate Biological Information, Vannucci, M. and Stingo, F. C.
23: Parameter Inference for Stochastic Kinetic Models of Bacterial Gene Regulation: A Bayesian Approach to Systems Biology, Wilkinson, D. J.