Research Interests
Research Interests: Nonparametric Bayes, Latent variable methods, Model uncertainty, Multivariate analysis, Biostatistical applications, Machine learningDevelopment of Bayesian methods motivated by applications with complex and high-dimensional data. A particular focus is on nonparametric Bayes approaches for conditional distributions and for flexible borrowing of information. I am also interested in methods for accommodating model uncertainty in hierarchical models, and in latent variable methods, including structural equation models. A recent interest has been in functional data analysis.
- Keywords:
- Clustering, Functional data analysis, Latent variable models, Order restricted inference, Model selection and averaging, Nonparametric Bayes
- Current projects:
- Nonparametric Bayes methods for conditional distributions
- Semiparametric methods for high-dimensional predictors
- New priors for functional data analysis
- Borrowing information across disparate data sources
- Recent Publications
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- D.B. Dunson, Y. Xue and L. Carin, The matrix stick-breaking process: Flexible Bayes meta analysis (Submitted, 2007).
- D.B. Dunson and A.H. Herring, Semiparametric Bayesian latent trajectory models (Submitted, 2007).
- D.B. Dunson, M. Yang and D.D. Baird, Semiparametric Bayes hierarchical models with mean and variance constraints (Submitted, 2007).
- Y. Chung and D.B. Dunson, The local Dirichlet process (Submitted, 2007).
- R.F. MacLehose and D.B. Dunson, Nonparametric Bayes kernel-based priors for functional data analysis (Submitted, 2007).