Invited Talks:
| Name | Title | Abstract |
| Basu, S | Double Dirichlet process mixtures | Abstract |
| Cox, D | Useful priors for covariance operators | Abstract |
| Ghoshal, SG | Dirichlet process, related priors and posterior asymptotics | Abstract |
| Guglielmi, A | Semiparametric inference for the accelerated failure time model using hierarchical mixtures with generalized gamma processes | Abstract |
| Herring, A | Semiparametric bayes joint modeling with functional predictors | Abstract |
| Ho, MW | A Bayes method for a Monotone hazard rate via $\mathbf{S}$-paths | Abstract |
| James, L | Some new identities for Dirichlet means and implications | Abstract |
| Johnson, W | Semi-parametric survival analysis with time dependent covariates | Abstract |
| Karabatsos, G | Bayesian Nonparametric Single-Index Regression | Abstract |
| Kim, Y | Posterior consisteny of logistic random effect models | Abstract |
| Kokolakis, G | Convexification and Multimodality of Random Probability Measures | Abstract |
| Laud, P | Genetic association studies in the presence of population structure and admixture | Abstract |
| Lee, J | Posterior consistency of species sampling priors | Abstract |
| Nieto-Barajas, LE | Some good news about nonparametric priors in density estimation | Abstract |
| Petrone, S | Hybrid Dirichlet processes for functional data | Abstract |
| Popova, E | Bayesian semiparametric analysis for a single item maintenance optimisation | Abstract |
| Ruggiero, M | Bayesian countable representation of some population genetics diffusions | Abstract |
| Simoni, A | Regularised posteriors in linear ill-posed inverse problems | Abstract |
| Spano, D | Canonical representations for dependent Dirichlet populations | Abstract |
| Steel, M | Bayesian nonparametric modelling with the Dirichlet process regression smoother | Abstract |
Bayesian Nonparametric Regression: Theory, Methods and Applications | Workshops | Newton Institute Home Page