David B Dunson, Professor (effective August 1st, 2008)
- Contact Info:
- 219A Old Chemistry Bldg.
- 919 684-8025
- dunson@stat.duke.edu
- Personal Web Page:
- http://www.stat.duke.edu/~dunson/
- Office Hours:
- Tues 9-10am
- Education:
- PhD, Emory University, 1997
- Research Interests: Nonparametric Bayes, Latent variable methods, Model uncertainty, Applications in epidemiology & genetics, Machine learning
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, Methods for identifying gene x environmental interactions
Development 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.
- Recent Publications
(More Publications)
(search)
- D.B. Dunson, A.H. Herring and S.M. Engel. "Bayesian selection and clustering of polymorphisms in functionally-related genes." Journal of the American Statistical Association (Accepted, 2008).
- D.B. Dunson, A.H. Herring and A.M. Siega-Riz. "Bayesian inference on changes in response densities over predictor clusters." Journal of the American Statistical Association (Accepted, 2008).
- R.F. MacLehose and D.B. Dunson. "Nonparametric Bayes kernel-based priors for functional data analysis." Statistica Sinica (Accepted, 2008).
- D.B. Dunson and S.D. Peddada. "Bayesian nonparametric inference on stochastic ordering." Biometrika (Accepted, 2008).
- D.B. Dunson and J-H. Park. "Kernel stick-breaking processes." Biometrika 95 (2008): 307-323.